{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:19.352214Z",
     "start_time": "2020-11-14T07:41:17.342099Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 读入数据，填充缺失值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:25.190548Z",
     "start_time": "2020-11-14T07:41:19.356214Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Days for shipping (real)</th>\n",
       "      <th>Days for shipment (scheduled)</th>\n",
       "      <th>Benefit per order</th>\n",
       "      <th>Sales per customer</th>\n",
       "      <th>Delivery Status</th>\n",
       "      <th>Late_delivery_risk</th>\n",
       "      <th>Category Id</th>\n",
       "      <th>Category Name</th>\n",
       "      <th>Customer City</th>\n",
       "      <th>...</th>\n",
       "      <th>Order Zipcode</th>\n",
       "      <th>Product Card Id</th>\n",
       "      <th>Product Category Id</th>\n",
       "      <th>Product Description</th>\n",
       "      <th>Product Image</th>\n",
       "      <th>Product Name</th>\n",
       "      <th>Product Price</th>\n",
       "      <th>Product Status</th>\n",
       "      <th>shipping date (DateOrders)</th>\n",
       "      <th>Shipping Mode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>91.250000</td>\n",
       "      <td>314.640015</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1360</td>\n",
       "      <td>73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://images.acmesports.sports/Smart+watch</td>\n",
       "      <td>Smart watch</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>2/3/2018 22:56</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TRANSFER</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>-249.089996</td>\n",
       "      <td>311.359985</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1360</td>\n",
       "      <td>73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://images.acmesports.sports/Smart+watch</td>\n",
       "      <td>Smart watch</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/18/2018 12:27</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>-247.779999</td>\n",
       "      <td>309.720001</td>\n",
       "      <td>Shipping on time</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>San Jose</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1360</td>\n",
       "      <td>73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://images.acmesports.sports/Smart+watch</td>\n",
       "      <td>Smart watch</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/17/2018 12:06</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>22.860001</td>\n",
       "      <td>304.809998</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1360</td>\n",
       "      <td>73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://images.acmesports.sports/Smart+watch</td>\n",
       "      <td>Smart watch</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/16/2018 11:45</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>134.210007</td>\n",
       "      <td>298.250000</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1360</td>\n",
       "      <td>73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://images.acmesports.sports/Smart+watch</td>\n",
       "      <td>Smart watch</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/15/2018 11:24</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180514</th>\n",
       "      <td>CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>Shipping on time</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1004</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://images.acmesports.sports/Field+%26+Stre...</td>\n",
       "      <td>Field &amp; Stream Sportsman 16 Gun Fire Safe</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/20/2016 3:40</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180515</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>-613.770019</td>\n",
       "      <td>395.980011</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Bakersfield</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1004</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://images.acmesports.sports/Field+%26+Stre...</td>\n",
       "      <td>Field &amp; Stream Sportsman 16 Gun Fire Safe</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/19/2016 1:34</td>\n",
       "      <td>Second Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180516</th>\n",
       "      <td>TRANSFER</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>141.110001</td>\n",
       "      <td>391.980011</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Bristol</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1004</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://images.acmesports.sports/Field+%26+Stre...</td>\n",
       "      <td>Field &amp; Stream Sportsman 16 Gun Fire Safe</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/20/2016 21:00</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180517</th>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>186.229996</td>\n",
       "      <td>387.980011</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1004</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://images.acmesports.sports/Field+%26+Stre...</td>\n",
       "      <td>Field &amp; Stream Sportsman 16 Gun Fire Safe</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/18/2016 20:18</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180518</th>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>168.949997</td>\n",
       "      <td>383.980011</td>\n",
       "      <td>Shipping on time</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1004</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>http://images.acmesports.sports/Field+%26+Stre...</td>\n",
       "      <td>Field &amp; Stream Sportsman 16 Gun Fire Safe</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/19/2016 18:54</td>\n",
       "      <td>Standard Class</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>180519 rows × 53 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Type  Days for shipping (real)  Days for shipment (scheduled)  \\\n",
       "0          DEBIT                         3                              4   \n",
       "1       TRANSFER                         5                              4   \n",
       "2           CASH                         4                              4   \n",
       "3          DEBIT                         3                              4   \n",
       "4        PAYMENT                         2                              4   \n",
       "...          ...                       ...                            ...   \n",
       "180514      CASH                         4                              4   \n",
       "180515     DEBIT                         3                              2   \n",
       "180516  TRANSFER                         5                              4   \n",
       "180517   PAYMENT                         3                              4   \n",
       "180518   PAYMENT                         4                              4   \n",
       "\n",
       "        Benefit per order  Sales per customer   Delivery Status  \\\n",
       "0               91.250000          314.640015  Advance shipping   \n",
       "1             -249.089996          311.359985     Late delivery   \n",
       "2             -247.779999          309.720001  Shipping on time   \n",
       "3               22.860001          304.809998  Advance shipping   \n",
       "4              134.210007          298.250000  Advance shipping   \n",
       "...                   ...                 ...               ...   \n",
       "180514          40.000000          399.980011  Shipping on time   \n",
       "180515        -613.770019          395.980011     Late delivery   \n",
       "180516         141.110001          391.980011     Late delivery   \n",
       "180517         186.229996          387.980011  Advance shipping   \n",
       "180518         168.949997          383.980011  Shipping on time   \n",
       "\n",
       "        Late_delivery_risk  Category Id   Category Name Customer City  ...  \\\n",
       "0                        0           73  Sporting Goods        Caguas  ...   \n",
       "1                        1           73  Sporting Goods        Caguas  ...   \n",
       "2                        0           73  Sporting Goods      San Jose  ...   \n",
       "3                        0           73  Sporting Goods   Los Angeles  ...   \n",
       "4                        0           73  Sporting Goods        Caguas  ...   \n",
       "...                    ...          ...             ...           ...  ...   \n",
       "180514                   0           45         Fishing      Brooklyn  ...   \n",
       "180515                   1           45         Fishing   Bakersfield  ...   \n",
       "180516                   1           45         Fishing       Bristol  ...   \n",
       "180517                   0           45         Fishing        Caguas  ...   \n",
       "180518                   0           45         Fishing        Caguas  ...   \n",
       "\n",
       "       Order Zipcode Product Card Id Product Category Id  Product Description  \\\n",
       "0                NaN            1360                  73                  NaN   \n",
       "1                NaN            1360                  73                  NaN   \n",
       "2                NaN            1360                  73                  NaN   \n",
       "3                NaN            1360                  73                  NaN   \n",
       "4                NaN            1360                  73                  NaN   \n",
       "...              ...             ...                 ...                  ...   \n",
       "180514           NaN            1004                  45                  NaN   \n",
       "180515           NaN            1004                  45                  NaN   \n",
       "180516           NaN            1004                  45                  NaN   \n",
       "180517           NaN            1004                  45                  NaN   \n",
       "180518           NaN            1004                  45                  NaN   \n",
       "\n",
       "                                            Product Image  \\\n",
       "0            http://images.acmesports.sports/Smart+watch    \n",
       "1            http://images.acmesports.sports/Smart+watch    \n",
       "2            http://images.acmesports.sports/Smart+watch    \n",
       "3            http://images.acmesports.sports/Smart+watch    \n",
       "4            http://images.acmesports.sports/Smart+watch    \n",
       "...                                                   ...   \n",
       "180514  http://images.acmesports.sports/Field+%26+Stre...   \n",
       "180515  http://images.acmesports.sports/Field+%26+Stre...   \n",
       "180516  http://images.acmesports.sports/Field+%26+Stre...   \n",
       "180517  http://images.acmesports.sports/Field+%26+Stre...   \n",
       "180518  http://images.acmesports.sports/Field+%26+Stre...   \n",
       "\n",
       "                                     Product Name Product Price  \\\n",
       "0                                    Smart watch     327.750000   \n",
       "1                                    Smart watch     327.750000   \n",
       "2                                    Smart watch     327.750000   \n",
       "3                                    Smart watch     327.750000   \n",
       "4                                    Smart watch     327.750000   \n",
       "...                                           ...           ...   \n",
       "180514  Field & Stream Sportsman 16 Gun Fire Safe    399.980011   \n",
       "180515  Field & Stream Sportsman 16 Gun Fire Safe    399.980011   \n",
       "180516  Field & Stream Sportsman 16 Gun Fire Safe    399.980011   \n",
       "180517  Field & Stream Sportsman 16 Gun Fire Safe    399.980011   \n",
       "180518  Field & Stream Sportsman 16 Gun Fire Safe    399.980011   \n",
       "\n",
       "       Product Status shipping date (DateOrders)   Shipping Mode  \n",
       "0                   0             2/3/2018 22:56  Standard Class  \n",
       "1                   0            1/18/2018 12:27  Standard Class  \n",
       "2                   0            1/17/2018 12:06  Standard Class  \n",
       "3                   0            1/16/2018 11:45  Standard Class  \n",
       "4                   0            1/15/2018 11:24  Standard Class  \n",
       "...               ...                        ...             ...  \n",
       "180514              0             1/20/2016 3:40  Standard Class  \n",
       "180515              0             1/19/2016 1:34    Second Class  \n",
       "180516              0            1/20/2016 21:00  Standard Class  \n",
       "180517              0            1/18/2016 20:18  Standard Class  \n",
       "180518              0            1/19/2016 18:54  Standard Class  \n",
       "\n",
       "[180519 rows x 53 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('./SupplyChain.csv', encoding='unicode_escape')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:25.202548Z",
     "start_time": "2020-11-14T07:41:25.194548Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(180519, 53)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:25.787582Z",
     "start_time": "2020-11-14T07:41:25.206549Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Customer Lname              8\n",
       "Customer Zipcode            3\n",
       "Order Zipcode          155679\n",
       "Product Description    180519\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp = data.isnull().sum()\n",
    "temp[temp>0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:25.842585Z",
     "start_time": "2020-11-14T07:41:25.794582Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Customer Fname</th>\n",
       "      <th>Customer Lname</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Cally</td>\n",
       "      <td>Holloway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Irene</td>\n",
       "      <td>Luna</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Gillian</td>\n",
       "      <td>Maldonado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Tana</td>\n",
       "      <td>Tate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Orli</td>\n",
       "      <td>Hendricks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180514</th>\n",
       "      <td>Maria</td>\n",
       "      <td>Peterson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180515</th>\n",
       "      <td>Ronald</td>\n",
       "      <td>Clark</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180516</th>\n",
       "      <td>John</td>\n",
       "      <td>Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180517</th>\n",
       "      <td>Mary</td>\n",
       "      <td>Smith</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180518</th>\n",
       "      <td>Andrea</td>\n",
       "      <td>Ortega</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>180519 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Customer Fname Customer Lname\n",
       "0               Cally       Holloway\n",
       "1               Irene           Luna\n",
       "2             Gillian      Maldonado\n",
       "3                Tana           Tate\n",
       "4                Orli      Hendricks\n",
       "...               ...            ...\n",
       "180514          Maria       Peterson\n",
       "180515         Ronald          Clark\n",
       "180516           John          Smith\n",
       "180517           Mary          Smith\n",
       "180518         Andrea         Ortega\n",
       "\n",
       "[180519 rows x 2 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[['Customer Fname', 'Customer Lname']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:26.032596Z",
     "start_time": "2020-11-14T07:41:25.850585Z"
    }
   },
   "outputs": [],
   "source": [
    "#将两个字段做合并处理\n",
    "data['Customer Full Name'] = data['Customer Fname'] +  data['Customer Lname']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:26.089599Z",
     "start_time": "2020-11-14T07:41:26.039596Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Customer Full Name'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:26.137602Z",
     "start_time": "2020-11-14T07:41:26.099600Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "725.0      66770\n",
       "921.0        337\n",
       "23455.0      334\n",
       "957.0        297\n",
       "79109.0      292\n",
       "           ...  \n",
       "60636.0       18\n",
       "89015.0       16\n",
       "32210.0       15\n",
       "7728.0        13\n",
       "11225.0        9\n",
       "Name: Customer Zipcode, Length: 995, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Customer Zipcode'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:26.159603Z",
     "start_time": "2020-11-14T07:41:26.143602Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Customer Zipcode'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:26.188605Z",
     "start_time": "2020-11-14T07:41:26.167603Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#只有3个，drop掉\n",
    "data['Customer Zipcode'] = data['Customer Zipcode'].fillna(0)\n",
    "data['Customer Zipcode'].isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. 数据探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:29.156774Z",
     "start_time": "2020-11-14T07:41:26.194605Z"
    }
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:41.501481Z",
     "start_time": "2020-11-14T07:41:29.159775Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x253f7a20>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.heatmap(data.corr(), cmap='coolwarm', annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:41.589486Z",
     "start_time": "2020-11-14T07:41:41.506481Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LATAM           51594\n",
       "Europe          50252\n",
       "Pacific Asia    41260\n",
       "USCA            25799\n",
       "Africa          11614\n",
       "Name: Market, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#按照不同Market\n",
    "data['Market'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:42.433534Z",
     "start_time": "2020-11-14T07:41:41.595486Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x25a3a908>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "market = data.groupby('Market')\n",
    "market['Sales per customer'].sum().sort_values(ascending=False).plot.bar(figsize=(20,10), title='Sales in different market')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:43.603601Z",
     "start_time": "2020-11-14T07:41:42.440534Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x25d73c50>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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RVedW1bkXXnjhcSkOAAAAgMt2zHCnqu6f5L3dfd5lbdfdZ3f3qd196uHDh49bgQAAAABcut303LlrkgdU1QVJnpHkHlX1u2utCgAAAIBdOWa4092P7O4bdfeRJA9O8pLufsjaKwMAAADgmPayWhYAAAAA+8yhvWzc3S9L8rK1VAIAAADAnum5AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADDYMcOdqrpqVf1lVb22ql5fVT9xIgoDAAAA4NgO7WKbjye5R3d/pKpOSvInVfW/uvvP11wbAAAAAMdwzHCnuzvJR1Z3T1rdep1FAQAAALA7u5pzp6quXFWvSfLeJC/u7r/YYZszqurcqjr3wgsvPN51AgAAALCDXYU73X1Jd39pkhsluVNV3W6Hbc7u7lO7+9TDhw8f7zoBAAAA2MGeVsvq7g8leVmS+6ylGgAAAAD2ZDerZR2uqmutPr9aknsmeeO6CwMAAADg2HazWtbnJ3lKVV05Sxj0zO5+/nrLAgAAAGA3drNa1uuS3OEE1AIAAADAHu1pzh0AAAAA9hfhDgAAAMBgwh0AAACAwYQ7AAAAAIMJdwAAAAAGE+4AAAAADCbcAQAAABhMuAMAAAAwmHAHAAAAYDDhDgAAAMBgwh0AAACAwYQ7AAAAAIMJdwAAAAAGE+4AAAAADCbcAQAAABhMuAMAAAAwmHAHAAAAYDDhDgAAAMBgwh0AAACAwYQ7AAAAAIMJdwAAAAAGE+4AAAAADCbcAQAAABhMuAMAAAAwmHAHAAAAYDDhDgAAAMBgwh0AAACAwQ5tugD2hyNnnrPW/V9w1mlr3T8AAABcUem5AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBjhnuVNWNq+qlVXV+Vb2+qh5+IgoDAAAA4NgO7WKbi5P8QHe/uqpOTnJeVb24u9+w5toAAAAAOIZj9tzp7nd396tXn1+U5PwkN1x3YQAAAAAc257m3KmqI0nukOQv1lEMAAAAAHuz63Cnqq6R5PeTPKK7P7zD18+oqnOr6twLL7zweNYIAAAAwKXYVbhTVSdlCXae2t3P2mmb7j67u0/t7lMPHz58PGsEAAAA4FLsZrWsSvKbSc7v7seuvyQAAAAAdms3PXfumuRbktyjql6zut1vzXUBAAAAsAvHXAq9u/8kSZ2AWgAAAADYoz2tlgUAAADA/nLMnjswwZEzz1n7MS4467S1HwMAAAD2Ss8dAAAAgMGEOwAAAACDCXcAAAAABhPuAAAAAAwm3AEAAAAYTLgDAAAAMJhwBwAAAGAw4Q4AAADAYMIdAAAAgMEObboAYHHkzHPWuv8LzjptrfsHAABgM/TcAQAAABhMzx3guFh3z6NE7yMAAICd6LkDAAAAMJhwBwAAAGAw4Q4AAADAYMIdAAAAgMGEOwAAAACDCXcAAAAABrMUOsDKupdzt5Q7AACwDnruAAAAAAwm3AEAAAAYTLgDAAAAMJhwBwAAAGAw4Q4AAADAYMIdAAAAgMGEOwAAAACDCXcAAAAABhPuAAAAAAwm3AEAAAAYTLgDAAAAMJhwBwAAAGAw4Q4AAADAYMIdAAAAgMGEOwAAAACDCXcAAAAABhPuAAAAAAwm3AEAAAAYTLgDAAAAMJhwBwAAAGAw4Q4AAADAYMIdAAAAgMGEOwAAAACDCXcAAAAABhPuAAAAAAx2aNMFAHB8HDnznLUf44KzTlv7MQAAgL3RcwcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAazWhYA+8a6V/yy2hcAAAeRnjsAAAAAg+m5AwDHybp7HiV6HwEA8Nn03AEAAAAYTLgDAAAAMJhwBwAAAGAw4Q4AAADAYMIdAAAAgMGslgUAfMq6V/yy2hcAwPGn5w4AAADAYMIdAAAAgMGEOwAAAACDCXcAAAAABhPuAAAAAAwm3AEAAAAYTLgDAAAAMJhwBwAAAGAw4Q4AAADAYIc2XQAAwPFy5Mxz1n6MC846be3HAADYCz13AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgx3adAEAAHzakTPPWev+LzjrtLXuHwA48fTcAQAAABjsmD13qupJSe6f5L3dfbv1lwQAwFTr7nmU6H0EAEfbTc+dJye5z5rrAAAAAOByOGa4092vSPKBE1ALAAAAAHtkzh0AAACAwY5buFNVZ1TVuVV17oUXXni8dgsAAADAZThu4U53n93dp3b3qYcPHz5euwUAAADgMhiWBQAAADDYMcOdqnp6kj9LcuuqemdVPWz9ZQEAAACwG4eOtUF3n34iCgEAAABg7wzLAgAAABhMuAMAAAAwmHAHAAAAYDDhDgAAAMBgwh0AAACAwYQ7AAAAAIMJdwAAAAAGE+4AAAAADCbcAQAAABhMuAMAAAAwmHAHAAAAYDDhDgAAAMBgwh0AAACAwYQ7AAAAAIMJdwAAAAAGE+4AAAAADCbcAQAAABhMuAMAAAAwmHAHAAAAYDDhDgAAAMBgwh0AAACAwYQ7AAAAAIMJdwAAAAAGO7TpAgAAYD85cuY5a93/BWedttb9A3DFI9wBAIADRkAFcMViWBYAAADAYMIdAAAAgMGEOwAAAACDmXMHAADYV8wZBLA3eu4AAAAADCbcAQAAABhMuAMAAAAwmHAHAAAAYDDhDgAAAMBgwh0AAACAwYQ7AAAAAIMd2nQBAAAAB82RM89Z6/4vOOu0te4fmEXPHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGDCHQAAAIDBhDsAAAAAgwl3AAAAAAYT7gAAAAAMJtwBAAAAGEy4AwAAADDYoU0XAAAAwP5y5Mxz1rr/C846ba37hysaPXcAAAAABhPuAAAAAAwm3AEAAAAYTLgDAAAAMJgJlQEAADhwTArNFYmeOwAAAACDCXcAAAAABhPuAAAAAAwm3AEAAAAYTLgDAAAAMJhwBwAAAGAw4Q4AAADAYIc2XQAAAADwmY6cec5a93/BWaetdf+cWHruAAAAAAwm3AEAAAAYTLgDAAAAMJg5dwAAAIDjzrxBJ46eOwAAAACDCXcAAAAABhPuAAAAAAwm3AEAAAAYTLgDAAAAMJhwBwAAAGAwS6EDAAAAHGXSUu567gAAAAAMJtwBAAAAGEy4AwAAADCYcAcAAABgMOEOAAAAwGC7Cneq6j5V9aaqektVnbnuogAAAADYnWOGO1V15SS/kuS+SW6T5PSqus26CwMAAADg2HbTc+dOSd7S3W/t7n9O8owkX7fesgAAAADYjeruy96g6huT3Ke7v2N1/1uS3Lm7v+eo7c5Icsbq7q2TvOn4l/sp10nyvjXuf92m15/Mb8P0+pP5bZhefzK/DdPrT7RhP5hefzK/DdPrT+a3YXr9yfw2TK8/md+G6fUn89swvf5kfhtORP037e7DRz94aBffWDs89lmJUHefneTsy1HYnlXVud196ok41jpMrz+Z34bp9Sfz2zC9/mR+G6bXn2jDfjC9/mR+G6bXn8xvw/T6k/ltmF5/Mr8N0+tP5rdhev3J/DZssv7dDMt6Z5Ibb7t/oyTvWk85AAAAAOzFbsKdVyW5VVXdrKqukuTBSZ673rIAAAAA2I1jDsvq7our6nuSvDDJlZM8qbtfv/bKLtsJGf61RtPrT+a3YXr9yfw2TK8/md+G6fUn2rAfTK8/md+G6fUn89swvf5kfhum15/Mb8P0+pP5bZhefzK/DRur/5gTKgMAAACwf+1mWBYAAAAA+5RwBwAAAGAw4Q4AAADAYMecUHm/qKq7JblVd/9WVR1Oco3uftum67oiqarbJblNkqtuPdbdv725inavqq6X5H8kuUF337eqbpPkK7v7Nzdc2q4dhDZMV1VXTfKwJLfNZ/4dfPvGimKkqrp2klvlM3+PXrG5ivZm8uvB0arq6kn+XZLTu/u0TdcDJ9L08+uqOi2f/Zr8k5ur6IrnIDwH01/Tptc/3ep/5w/ns5+De5zoWkb03KmqH8/yA3vk6qGTkvzu5iram6q6VVX9XlW9oareunXbdF17sXoOfml1++okj0nygI0WtTdPzrLi2w1W9/8mySM2Vs3l8+TMb8N0v5Pk+knuneTlSW6U5KKNVnQ5VNUNq+ouVfVvtm6brumKpKq+I8krsvw9/8Tq46M2WdNeHIDXg1TVVarqgVX1zCTvTvJvkzxxw2Xt2kE4r2DzDsD59ROT/Psk35ukkjwoyU03WtQeTf9bPiDPwejXtOn1b1dV162qm2zdNl3PHjw1yflJbpblvO6CJK/aRCEjwp0sV9QekOSjSdLd70py8kYr2pvfSvKEJBdn+aP77SxvEif5xiwnv+/p7m9Lcvskn7PZkvbkOt39zCSfTJLuvjjJJZstac/Gt6GqvqKqXlVVH6mqf66qS6rqw5uuaw9u2d0/muSj3f2UJKcl+eIN17QnVfXoJK9M8iNJfnB1+68bLeqK5+FJ7pjk7d391UnukOTCzZa0J2NfD6rqa6rqSUnelqUdv5PkA939bd39vM1Wtyejzyuq6kpVdZdN13G8VdUdN13DHk0/v75Ld/+HJMQCBUIAACAASURBVB/s7p9I8pVJbrzhmvZq9N9yDsZzMPY1bWV6/amqB1TVm7O8Nr88SzjyvzZa1N583mokxSe6++WrHv1fsYlCpoQ7/9zLmu2dfKoL9SRX6+4/yrL0/Nu7+1FJTng3rX+hj3X3J5NcXFWnJHlvkptvuKa9+GhVfV4+/Tv0FUn+YbMl7dlBaMMvJzk9yZuTXC3Jd2S50jDFJ1YfP7TqAnvNJEc2V87l8sAkt+7u+3X3165uU6/wXL2qHlJV52y6lj36p+7+pySpqs/p7jcmufWGa9qLya8HL0xyiyR36+6HrAKdT264pstj9HnF6vfnFzZdx/FQVbepqp9cvTF5wqbr2aPp59cfW338x6q6QZbX6JttsJ7LY/Tfcg7GczD5NS2ZX3+S/FSWMORvuvtmWcKqV262pD3Zen/w7qo6rarukKV3/wk3Zc6dZ1bVryW5VlX9xyTfnuTXN1zTXvxTVV0pyZur6nuS/H2S6264pr06t6quleXnfl6SjyT5y82WtCffn+S5SW5RVa9McjhL0j3JQWhDuvstVXXl7r4kyW9V1Z9uuqY9OHs1V8qPZnkurpHkxzZb0p69NUvX+49vupDLo6qukuR+Sf6fJPdJ8vsZNJxm5Z2r/6d/kOTFVfXBJO/acE17Mfn14MuTPDjJH66GPjwjyZU3W9LlchDOK15UVd+Q5FmrgGGMqrpplgsVp2fpcXHTJKd29wWbrOtymH5+/fzV/6KfS/LqLCHVb2y2pD2b/rd8EJ6Dya9pyfz6k6XHy/tXvTqv1N0vXfU0n+Knq+qaSX4gy0XrU5L8l00UUlNeT6vqa5Lca3X3Rd394k3WsxerbrrnJ7lWlmTylCQ/191/vtHCLqeqOpLklO5+3YZL2ZOqOpTl6ngleVN3f+IY37LvTG9DVb0iyT2zvPC/J8tcF9/a3bffaGFXIFX1+1m67P5RtgU83f19GytqF1avAadnme/opUn+3yS/1N1HNlnXv1RV3T1LD7AXdPc/b7qevZr6epAkVXXXLL9T35DkNUme3d1nb7aq3dnhvOKaSR4z6byiqi5KcvUsw4s/luV1rbv7lI0WdgyrCxLXzBIMPqO731xVb1tdbR5n8vn1dlX1OUmu2t2jejQfpPcIU5+D7Sa/piVz66+qP8zSs/xnk1wnS++jO3b3gRu+u26Twp3rJ7lTlkT4Vd39ng2XdIVSVf8uyUu2/mGvEuKv6u4/2Gxlu1PLKkf/OcndsvwO/XGSJ24NjZjggLThpln+YZ+UJdG+ZpJf7e63bLSwY6iqh3T371bV9+/09e5+7Imu6fKqqofu9PhqDqF9q6o+meV3/lu3VnKpqrd295iux1V1Snd/uKo+d6evd/cHTnRNe1FVX9jdb6yqL9vp69396hNd0/Gwump+zyyrZX3bputhf6uq52SZJ+u5SZ7W3X867X/RdpPPr6vqu5M8tbs/tLp/7Sx/x7+62cquOA7Cc3AA3uOMrj/51JDQf8oS8n9zlvcHT+3u92+0sGOoqh/q7sdU1S9lNbx1u01cOB0R7tSyssiPJXlJlif97kl+sruftNHCdqmqXpzkQUf943tGd997s5XtXlW9pru/9KjH/qq777CpmvailhVRLsqnV4E4Pcm1u/tBm6tqbw5CG6aqqu/s7l+rZUWCz7KaRJA1Wo1ffnCWoYhbw2l+rLvHrMpRVc/v7vtX1duynATUti/3fn9zWFVnd/cZVfXSHb7cvYElP/eqqv5Vlu7fn1jdv3WWYX5v7+5nbbS4Xaiqx3X3I6rqedn5RHLM/FlVtXUSf7Pu/qmqunGSz+/ufT+cYNX9/huyvA7fMkuvi3tPqH27A3B+PfrcNJn/HuGAPAej2zC9/smq6mu7+3n76cLplHDnTVlmY3//6v7nJfnT7h4xAeVOf2DT/uiq6nXd/SVHPfa/u3vESkFV9dqjh/7s9Nh+NrkNVfXM7v6mqvrf2fkNyZfs8G2sQVXdKku319skuerW4/s9WNhu8nAaNms1NPRhq6E0t8wyL8FTs/w9/GV3P/Iyd7BhVfXl3X3eajjfZ+nul5/omi6vqnpClsms79HdX7R6U/ui7h614lRVXS/LUtAPTnLj7h6zUtABOL9+XZLbb83ZVFVXTvK67r7tZivbvenvEQ7IczD9Pc7Y+lfDcy81jNjvw3R3suoNfI3u3shqwFNWy3pnlh4LWy5K8o4N1XJ5fLKqbrJ1ZzU0Zf+nap/p3Kp6bFXdoqpuXlX/M8ukXVP8VS2rSyVJqurOmTULezK7DQ9ffbx/kq/d4TZCVT2mqk6pqpOq6o+q6n1V9ZBN17VH05ddTXe/sru/J8kNk/zPLEuvjlFVd111QU4tq309dvtrxH5XVQ+qqpNXn/9IVT1r1bNqgmt395tXnz80ydO7+3uT3DfL/6d9rbvPW318+dYtyeuyLEM8JthZuXN3f3eWrvjp7g8mucpmS9q77v4/3f2Lq7kh7rbpevZo+vn1C7NMCv1vq+oeSZ6e5AUbrmmvpr9HOAjPwfT3OGPr7+6TVwHO45KcmeW87kZJfjjJT2+ytr2oqqet3h9cPckbkrypqn5wI7UM6bnz20m+OMlzsvzD+7osV9v+Jtn/811U1X2SnJ1k68Tr3yQ5o7tfuLmq9mb1y/qjWeYlqCQvSvLT3f3RjRa2S1V1fpaJiP9u9dBNskxg98kswwn2fc+Rg9CG6ba6vq7GNz8wy7xBL53Qe2pLVZ3X3V++/apOVf1xd//rTdd2WaYPp9lu60pnki/JEqz9ZpKv7+4de2PsN1tXCavqbll6gf18kv/W3XfecGnHtP0KZy2rDv7c1rwEU3pCJklVvSzJA7KsevqaJBcmeXl37zgv2H5UVX+R5C5Z5nn5sqo6nKXnzr4OCmtZVeplq95fleRJSb4+yduTPLS7/2qjBe7BATi/vlKS78yybPLWuelv9LIa5wjT3yMckOdg+nuc0fUny+vB0ecQOz22X217f/DNWVbl/OEk523ivdmUpdD/dnXb8pzVx5M3UMuedfcLapmA8iuy/NH9l+5+34bL2pPVP4gzN13Hv8B9Nl3AcTC+DVX19UkenWWZz1rdelC3y5NWH++X5Yr/B5Zz+1GmLrv6giQPy1L3LZP8WZbhNPevqjvu9+E0R7m4u7uqvi7J47v7Ny9tvPY+tXXSflqSJ3T3c6rqURusZy9eV1U/n+X3/pZZToK3JqCc5Jq9TM79HUl+q7t/fBUaTvKLSZ6d5LpV9TNZ5tP60c2WtCsPT/Lk1eenZwlpb55lkuVfTLKvg/KjTD+//mSWnqhP2HQtl9f09wgH5DkY/R5nev0rl6yCkWdkCZpPz6fPNSY4qapOynLh95e7+xOben8woufOllU38O7uj2y6lt2oA7CySB2syRtvn0+fdP1xd792k/VcHtPbUFVvSfK13X3+pmu5PKrqrCz/uD+WZXWRayV5/pQrC0lSQ5ddPaqn0U8l+dzu/u6qukqWqyP7fmz5lqp6eZaw6tuyXKW9MMlrprShqp6fJRy5Z5YrVB/LMl/Nvu/1UlVXy/Lm/POTPGnrf2hV3SXJLbp7xBDFWuYvu1eSpyT57939qp3mXdjvquoL8+kr/n804bWhtk1eWlVPS/IX3f341f0xc6VsN/D8evw8ftPfIxyQ52D0e5zp9W9XyxLuj09y1yxteWWSR3T3BZuraveq6vuy9NZ5bf5ve2ceZldVpf3fG8ZIGARjEJDJAAphHoTABw7I0IpKQ5rRAWhs0BZEURsQBfxaulUQEQXiADgyiChqf80YQMIg8yCCoIAgIjIJEkAS3u+PvW9yU6mk6laR2mefWr/nuU/ds0/d5D117rl3n7XXelda+FoV+H6JrPgqgjuSJpFS1zvtYx8H3m/7N+VUDYza0VmkFeaNkg4FDgQ65Ru7AlNtf62cqt5oyTFMt711aR3DQcn08xnbs3Kp0Aq2a/IoAFIab2Upu60opwFQaj28N6kc5VfZb+Ettr9bWNqgyO/7nYA7cmnK64BJti8pLG3UIGkKKcvlatsflrQm6ZrYrbC0QSPpe7bfN9BY05B0M2ny/hSpFOttnfmopN/aflNJfb1Q8fz6dbb/rORPMw+2HxxpTb1S+z1CS85B1fc4tetvO5JWtv2nEf9/KwnuXENamZqWt98CfMHJvK7R5PKHrWzXYnw7D0rO92fZrs04djY5XX2rzs1srk+9toaVhQ4tOYavAisCPwVe7Iy7Ps8UkcyI9yZlIk0oLGnQSNqK5PEyzvaqORvs32x/uLC0BSLp+8CjpIyR/wDWsD0jl9NcWVNwpy/Zu2YvJ3PZqsifQ7uS9L+ztJ6B6GeV2aQb2mnAl22/UETYK0AuT7yhtI7BIulm25t0bS9CChiuW1DWgEh6F3A6sAjwc9sH5vHtgE/VcB10qHx+vQhwke3tS2sZKrXfI7TkHFR9j1O7/g6SliSV3q/H3J1c9y8maghIWpbUyXVv4E22Vx5pDbV0y1qq88UDYPsKYKlycgZPrkX9cmkdw8HJFG18Ln+oFTF37easPFYTbTiGZYAZpHKCTqesxneo6SDpzTlA9SBwIfAr4I1lVfXMScCOwBMAuSxl26KKBseBpJvw1YEdbM/I4+tS4WespI2Uuq89QCqPa3w5SgdJi0t6r6RzgT+TympOKyxrsPTt2Pdu4HDgNUA1WZAdJK0r6ThJ91KJ54WkI5Ta324g6RlJz+btx5jj+dJYbP8CWI00cT+wa9eNpJboNVHz/HoWMCPfTFVJ7fcILTkHVd/j1K6/i++RFn93JJmLr8Lcnfwai6SxkvaQ9DPgTuBEUqev15fQU4uh8h8kHc2cdr37AvcX1NMrF0vaDfiJa0iV6p8HgOmSLgRml3K44Z0UuvgOcL2kC/L2e0nZCzVR/THY3q+0hqGgZPb5L6ROZT8CjgNutH1WUWFDxPZDmtvorfGmdbafB/6rn/FrgGtGXlHvSFob2JNkFPgEcA4pg/atRYUNEknvIGnfkZTp8j1gi5qu6/mUCjwI3CKpii5HuQxir/yYSQo0bFaLN4Ht44HjJR3vuozQgdmNATrPYU721622q7gZ6aL2+fULwB2SLmHuuekh5ST1TO33CG04Bw9Q9z3OA9StH2Ci7SmS3mP7LCU/s8Z3jJP0A9IC6cXAKcDlwH05UF6EWoI7+wPHMsdr5CqSEWUtfJy0EjJL0vPU1yEI4JH8GEMlXRQ65LTX60mR4G1If//9XFe70uqPAapOu/wQcA9pZfwXtl+QVOMkDOAhJfNY55WeQ6gga6Ql5TR3k7K9drF9H4Ckw8pK6omLSPq3sX0/zC61bAuNz2bOZTTLkjqK7J49j+6vJbDTje0jJK1MCk4t2jV+VTlVg2KXfsaWJ2UiHWD78pEWNAxqn1//Mj9qpnOPMFPSC9R3j9CGc1DtPU6mdv0AL+WfT2cvsEdJmdpNZxLJf+23wN3Zj7Po/UHjgzu5lvC8mus5bdd6oc3G9rFQnwkrpLRXSSfY3gpodPeB+dGGY8h8j3SDuyMp+2UfKggskFJFdyCtlJ+UDRDHSlrU9syy0nrmIFJHgpVJ/jUXATV4vfRXvrc88AFSOc2B/exvGruRMnemSfpf0g16TaWVm5L0XyrpDyT9i5SV1BvqvzPNq0kZC00PKkDqrLYKMAEYD9xLP11SakCp++CewF3MyR40DT8P88tUyxlV5wJVdE+seX4t6TLbbwfWtf3p0nqGgqSts9fO+EoWJ+aiJeegY+D+tHPHu5qoXX8fpio1LDmaZHswDvhsWUkDY3tDpa6Pe5PmRo8BS0ta0fajJTTVYqh8IfA+238rrWUoZPPVfUgGoJ+X9HrgdbZ/XVjaoKnVhLWDpGOB26k37bUtx3CL7Y2VOx9JWoxkxtforhDd5Oyjd5ECPduQ2vfuXVbV6EaVtR/OJsTvJb2H3kZqZ32B7YuLCusBSVuT9O8G3ErSP7WsqoHRvJ1pTCqRu4LUffCleV7UMLoMG/cCJgLLATvWNKcAkHQPsIHtFwf85UroaxLddGqdX0u6CziY5PW1N32C5G54G3EASTfZ3rS290yHlpyDu4CdScGEtzDvMTxZQNagqV1/G5G0Gem7eQrwcAlz+lqCO+cCWwJV1nNKOhV4mdQu8005Mnmx7c0LSxs0kq4Hdgcu7NxESbrT9qSyygZHNmtciuRPUGPaa1uO4de2t5B0FfBhUtrlr22vWVjakJC0DLBrTd47Si2Tv0r6TDVwLXCY7T8UFTYMVFkr9G4kLU+aBOxRU5CzQy4ZfQewZ03eO21B0mtJJr57Aa+3XcTAcShI+n/AFNt/L63llUDSOsCZOcO2CmqdX0vanVTivQ3JyLob1/BZKuk6UubyO0lZkHMR52DhI+kQUoBqTVImc3dwxE2fm9auvxtJS5AWLVZn7jLd40ppGg45sWNbF2hHX0tw5wP9jddyQ9WJynevLtd2MyLpettvrvkYgvJI+lfgfGAD4Axy2qXtWjrtVE+eUH6dZAwNqSzio7YbXUowQDnN321/dIQlBUGjkLTafAyjG4mk84ENgcuA2dk7FdzU/px5S+GWB14H7Gv72pFXNTRaML8+2vbn+4xtbvuGUpoGi6TXANsD/8285Se2/d2RV9U7NZ+DDpJOtX1wn7FiZTW9Urt+gFyq/jfgJrqafNg+oZioSqkiuFM7OetlMnBDDvKMJ2Xu1FRG8GNSa7dTSKs8h5C6c+xZVNggkdRvq+cKjBtn04ZjCMrTCdT2GbvO9palNA2GNpTTBEEwh1oDC5K26zPU+Sy61/Y/Ckga9UhalzmdCP9me7PCkgaNpA1t39a1vQ2wl+0avPBmU/M56NBV8ro38CbbKxeW1BM166+pGqTpVBHckXQ//RgG1pJuJmkfUtr0JiRvhd2Bz9g+r6iwHsgrDF8lrTKI1PLtUNtPFBU2SPJKW4clgS2Am2pIG+3QkmOYAHwBWMn2znkysJXtKlq6S1qirz9Ef2NNJJf/AHwKeJqUBm7SZ9MSfVfegqCNSJpi+zxJazh3/ArKIWkssKrte0prGY3UPL/OBtZ75cdMUte1zVxh5zhJG5FuyP+F1Ir+fNunlFU1MG04B/kz6N2kv/8mpG5T7wWusv1ySW2DoXb9HSRNBb5m+47SWmqnluDOCl2bS5L8CZa33XgX7Q7ZSfvtpMDIZbZr6BDUWrKp9Rdt71Vay1Cp8Riyx8IZwFFODvOLArfYXr+wtEHRn/FhLWaIXZP4/rozVVWbHZRHqdPOBOaujf9jOUWDo6tMuorrdn5oTqedBY41GUm7AF8GFre9Rr7BPc72uwtLGzXUOr+WdA2wLGmR4mzb90q63/YahaUNGklrMyfT5QngHOBw26sVFTZIWnIOfgBsS1qwPhu4HLivlmOoXX832Rx6Iim4+SJzfEU3KCpsACR9fEH7bZ84Ulo6NL4VOkA/2SEnSbqaClqkdfEX4Fekv/lYSZu4Aif5DpLWAD7KvEZXtU7CHgZqT/+r8RheY/tcSUcA2J4padZALyqNpBVJrcPHStqYOQGSZYBXFRPWAzV+2bcVSf9M8ll4Lem9VJU5uqSPAp8jfa91VgZN8tJqOk/kEr81lDoFzUVF32lfI63SDjTWZI4hZaBeAWD71jzXCEaIiufXfwVWIQWYxwP30k8GUsO5m3RfsIvt+wAkHVZWUk+04RxMAp4iGVvfbXuWpJqOoXb93excWsAQWbq0gL5UEdzpY6Q5BtiMBv4x54ekzwMfBH7PnA8+k1rg1sJPSa3Qf86cyXw1SPoac/72Y4CNgNvm/4rm0YZjAJ7LK4UGkLQlyUCt6exIuoZXAU5gTnDnWeDIQpqGhFIr9w+TOlyYNLk8zfYLRYUNQMvKab5ImtDXmsF5KLBOLWW5fXgnKQDyPdK1XBWStiJ5+I3vs2K4DLBIGVVDZqbtv6WmIrOp9cakSmqdX9t+T5e/yLGSJgLLSdrC9q8Lyxssu5Eyd6ZlM9mz6T+ztpG04RzkDPI3kkqaLpX0GLB0LWbEtevvptMMQKkD5JKF5Qwa28eW1tCXWsqyuo00Z5JStk6opUZb0j3A+jUb7fVnwloTfYwbZwIP1JS+Dq05hk1Iq8uTgDtJqz272769qLBBImk32+eX1jEclFrfPgt8Pw/tBbza9pRyqgamLeU0AJKm2966tI6hkr+T32F7ZmktQ0XSeNt/lbQ0KWuqinbc2cz3LcBBQHeXwWeBn9u+t4SuoSDp26ROWf9BukE8BFjM9kFFhY0iap9fd8g3hHuQvs9eb/v1hSUNGklLkTxS9iIt+p4FXGD74qLCeqTmc9BB0mYk/VOAh21PLiypJ2rWL+ndpAWXlYDHSP5Nv7W9XlFhgyQvnB4ArEdXcMr2/iOupYbgTu0otfs82PZjpbUMFUl7A2uR6jq7W5Y2urRM0jK2n5nPvlUr8Yio/hi6yT4765BWqO6pqcuRpENJnkHPAt8kZQD8R02TMEm32d5woLGmIekSUrbpRqRso7mooZwml2MBbAesSMqI7P48/UkJXb2Sb8rXAX7J3PpHvLZ8qEiaRMreWZ70WfRX4AO27ywqbJCoq+25pDHAuPl9TzQVSa8CjgJ2yEMXAf+36VmEQbPpvjZqIzc+mALsUVOzjL7UfA4AlNIJt7V9ZWktQ6FG/ZJuIwU3L7W9saS3krrGfaiwtEEh6TxSqeXewHHAPqTg1KEjrWXMSP+HvSDppK7nh/bZd+aICxo6xwO3SLpI0oWdR2lRPbI+cCDwX6TI6gkkI8Smc0XniaTL+uz76chKGTJXdJ5UfAwASPoI6SbkN/kmapykD5fW1QP75xuoHUh+KfuRromauCWXwwEg6c1ADRlg7wSOAB5nzmdQ96MGdsmPZYAZpPdRZ+xdBXX1yh+BS4DFSSUcnUdNTAU+bns126sCn8hjtXC8pGXyqv9dwD2SPlla1GCQtGTOnJph+yjbm9venJTV2XgkfS//HPFJ+ytFi+bX81BzUMH2k7ZPrzmwA3WfA0ipnDUFRvpSqf6Xcqn3GEljbE8jLebVwkTbRwPP2T6LNGct0iym6Z4723Y9/wCpFXeHGowbO5xFMs+8gwr9ajK7AmtWWFrWXb+8/AL2NZk2HEOHA21/vbNh+ylJBwLfKKipFzp/738CzrB9m/oYRjQVSXeQ/CwWA94v6Y95ezXSzWGjyZ8910maXGM5DYDt/WD+nY7KqOoNpS5Za9net7SWYbJUnjwCYPuKHCiphXVtPyNpH+B/gE8DNwFfKitrUJwM/C/QN1Nte5IX2MEjrqg3NlVqAb2/pO/S53vY9pNlZPVEW+bXQRC0g6cljQOuAn6Q/YNqKv3uVCE8nTODHyU1IRpxmh7c0Xye18bjtk8uLWKY3AYsR6qDrAnP53l/202lDcfQYYwkOdeD5hvFxQtr6oWbJF0MrAEckQMMtQRsa8oMWRAT8jlYnpR9XFU5TabaTke5G8d4SYtXGOzv5g+SjiaVZgHsS/IbqYXFJC1G8uo4xfZLqqdLyjb9pdrb/oGkGgzqTyMFp9YkBdS656fO402nFfPr+QXKa/MjrJk4B8FwyEbcE4D3AM8Dh5FKmlYjdWmuhamSXg18BrgQGAccXUJI04M7Y/IfakzX886XUE1dIW6SdDzpZFfjV9OHCcDdkm5g7mNous/Fa5U6iqjrOXl7fDlZPdGGY+hwMXCupNNIk+CDSZPkWjiAlCb6B9szlDp/7VdY02B5Kq/0983+qo1OOc00AElvyWONNw5UezodPQBMz+XFz3UGa/LcAfYHjmVO9shV1HMtA5xOOg+3AVflTJJaPHcWFExotF0AQF6sO1nSqbabnmU0P9oyv642UN4iqj0Hfb6H56GW7zRJS5BM6Ven697e9nGlNPXAScCRtjtziZeBs7I59DGksvVGk33vnrH9FGkuUTTA3/TgzrLMvSrSHQypZYUKYOP8c8uusdpaoX+utIAh8k3meEF0Pwf41sjLGRJtOIYOR5O8mw4iXdcXA98uqqgHbL8s6X5g7eyMXxM/JGXv3ET6/KlxtRnqLqdZnLSasyhzX8fPALsXUTQ0HsmPMdTntQOkklBSd6Yq6QQYuoYezAaUNfCY+mmXLGlzkrF1Fdg+WNKGwP/JQ1fV0vmRyufXLQqUd4z2/5vk46f8sO1ligobgJacgyq/v/rhZ8DfSNf0iwP8btNYvb/PTds3Slp95OX0Tr43+Hfg3NJaILplFUPSBNt/Ka1jqGR/iL1tf6S0lqD55A5ZXyCtjD9Emry8ntR56shaOmZJ+lfgUGAV4FZSwPbaWswPsz/Q62vrsNaNpAtINyLd5TSb2X5vOVW9UXsnkQ6SlupabQtGEEkTSJ+pK9neWdK6wFa2Gx8sl7QFaRJ8JulmBGAz4P3AnravLyStJyQdAnyIOdlfuwJTbVdhDF0zkrYD3kJaKDqta9ezwM9t31tC11CQdB+wi+3fltbSC206B7Uj6U7bk0rrGAqS7rM9sdd9TSOXeT8PnMPcGc0j7sEWwZ0RRNKypLS5vYE32V65sKSekLQRSfu/kLwJzrd9SllVQQ1I+gppheQw28/msaVJXY6eL9EqcChkU+LNgetsbyTpjcCxtvcoLG3QSLrJ9qaldQyVXD5wLMl4FVIK7LE5E6MKJE2jn9XxioKEW5Ey7sbZXjVnL/yb7Zo631WNpP9HCo4fZXvDHEC/xXaR7hy9Ium1wEeAzg3Jb0jeQdX4+km6nRRQey5vL0UK9och8QjRHSjPpRHjckfLapA03XYVhvr90ZJzsCSp7H49YHZWtu39i4nqAUlTga/ZvqO0ll6R9CPgctvf7DN+ALBDLfPrnNXfF9se8az4CO4sZCSNBd5NCopsQrrBfS8pfbfxRqyS1gb2BPYCniBFJA+3vVpRYUFVSLoXWNt9PnCyofLdttcqo6w3JN1ge3NJtwJvtv2ipFttV9OuUdLXgTNt31Bay2hFUndwzaZWqQAAHiVJREFUbUlS0H+m7U8VktQTkq4nlZFdaHvjPFbVymHtJqBdn0W3dJ2Dqj6LaqcT7Lf9Qt5eErihlgBbG5D0Q1LmyCxSFtiywIm2G981LpdjAWwHrAj8lLk9Lft2k2skNZ+DDpLOA+4m3asdRzL0/W1FC493ARNJC+8vMqe0r/GB5pyFegHwD+bO5Fwc2NX2o6W09YKkJTvfBQsaGwma7rlTNZJ+QGo3eTFwCnA5cJ/tK0rq6pG7gV+RUkbvA5B0WFlJQYW4b2AnD86qqMMLwMOSliNNwi6R9BTJe6Qm3gr8m6QHSamj1UwC2oLtm/oMTZd0ZRExQ8T2Q6nKbzazSmkZItWagGaey4bunc6DW5I8F4KR4wzg+lwqCmnhrvFlcS1j3dwoYB/gf4BPk24QawgsdBvFzgB26No2c8r9mk7N56DDRNtTJL3H9lk5YHVRaVGDIZfbHwRUWeqdLUomZ8+4zgLRL21fXlDWULiGeecP/Y0tdKoJ7uQV/gnM7QLedN+IScBTwG9J2Qm13chCWlHeE5gm6X+Bs6mwbWblTvJA9cdwl6T32/5u96CkfUkBxCqwvWt+ekwurVmWurp9AexcWsBop0/HsjHApqSV21p4SNJkwJIWJxkTV+EX0RITUIBPkDpwvkHSdFLnxJpMuavH9omSriCViArYz/YtZVX1TqXz6w6LSVqMFFg7xfZLtcyzbe8H888iLKNqSFR7Drro+D4+LWkS8Chprt14bFvSV2outwfIjTKmDfiLDUPSisDKwFhJGzPnHnkZ4FUlNFUR3JH0UVK3pr+QWqRBimo3eqU518G/kZTmd6mkx4ClJa1YS5qZ7QuAC3It+XuBw4AJkk4FLrB9cVGBg6dmJ/kONR/DR4CfSNqfOd2aNgfGkkwoq0HSNsBats+QNJ70od5frW0j6aqNfy1dteW1UHs5Taa7Y9lM0vvngKKKeuMg4Kuk9/7DpOzUWvx2qu5YJuljwHTgFlI5xzqk99E9tRjT90f20nq6vwzPJmP7ZubuNFUVtc6vuzgdeAC4DbhK0mqka7kmas8ibMM5mJo/gz5DCpqPI3V3rYXrJG0e5fZF2BH4IKnRyold488CR5YQVIXnTnaSf7PtJ0prGQ6SNiN510wBHrY9ubCkIZFXnacAe1RkAFqVH0R/tOQY3kYyrBPwG9uXFZbUE5I+R6oFXsf22pJWAs6ryQxR0rtJRtYrAY8Bq5Fqy9crKmyQSLrZ9iYDjQULjzYE2Go1AZX0ZVLm0RuB20lp39NJRr4j3pVjKEj6LHCu7btzRur/AhuSAp172760qMBRRFvm191IWtT2zNI6BqIri/BjwFe6di1D8hrZsIiwV4BazgHM/vzf3XYj2lgPhey5sw4pyBbl9gWQtJvt80vrgEoyd0itk6uvJbd9I3CjpMNJXjxVkieQp+dHLVwjaf0aneS7qP4Ycg1tbXW03ewKbExeqbX9iFLXr5r4PKmF+6W2N851znsV1jQgLSqnIaewH8yc74ErgNMryryofaUZ4HhJc5mASmq8CajtwwFyOdxmpGtif+Cbkp62vW5JfYNkD9LnEMAH8s/xwNrAWUAEd0aOqufX2Yz1C8BKtneWtC7Q6ebXdKrOIuxG0jvp02mKZEzceGy/LOnfgWqDO0S5fRP4haS9aYB1Ri3BnT8AV0j6JXM7yZ84/5c0l5x2XJV5ZgvYBvigUqu6qpzku2jDMdTOP3J9c8fEdKnSgobAS7afkDRG0hjb0yT9d2lRg6A1E2HgVGAx4Bt5+3157F+LKRoEbQqwUb8J6FjS333Z/HgEqCXw/4+u8qsdgbNtzwJ+q9TSPRg5ap9fn0kytj4qb/+O1NW18cEd21dKuhpY3/axpfUMFUmnkbxF3gp8i/R9/Ouionrnkrzwfg4p8wWYvZjdeGw/2I9lwLjSukYZjbHOqOVL9I/5sXh+BMGgqd1JHtpxDC3hXEmnA8tJOpC8Yl5YU688LWkccBXwg+wF1vj0adtXAldKOrPGcpo+bN4n5f5ySbcVUzN42hRgq9IEVNJU0gr5s8D1pLKsE20/VVRYb7yYTUv/QrohPLxrXxEDyqGg1Mr6v4HXkhZbOgsuyxQV1hu1z69fY/tcSUcA2J4pqZrOfbnRyvID/2ajmWx7A0m32z5W0gnU0+mrw/7550e6xgysWUBLz3RbBpCCnYsB3weqsQxoAavY3qm0CKgguJNd/NeyvW9pLUGdtMFJvg3H0AZsf1nSO0g3s+sAn7V9SWFZg0LSRFJHlPcAz5PM0fchee58tKC0XqmynKYPsyS9wfbvASStSQWtxFsWYKvVBHRVYAngXuBPJEPrp4sq6p2PAT8mlWJ9xfb9AJL+iWQUXQtfBHaxXUWnuL60ZH79nKQVSDfiSNqS+srMbpF0IXAec2eN1BIgeT7/nJF9CJ8A1iioZyi8yfYL3QOSamo40QbLgNppjHVG44M7Oao9XtLitv9RWk8v9Elbn4eK0l7bsELVBif5NhxD9eRgThUBnT6cBBxpuzN5fBk4Kxu9HwPsUkpYj9ReTgPwSWCapD+QPktXA/YrK6knqg+w2T4ZOLlr6MHsP9VobO+UMznXI5XIfQKYJOlJkqny54oKHAS2ryMZQvcd/x/SNV0Lf6k1sAN1z6+7+ASpu9EbJE0nBQxryyJcnhQQ6W5QYurJfvmFpOVI38E3k7R/q6yknrmGeT3j+htrKm2wDKidxlhnND64k3kAmJ4j291R7aYHR9oUNa16hYqU+n2QpAeo10m+DcdQNZUHOVe3fXvfQds3Slp95OUMmSrLabqxfZmktZjTxvpu20VrtHukDQG2ak1As1/NnZKeJmUp/A14F7AFqa11o+ln4cvA48DVnSyeJpO/ByA1yDgH+Clz+9XUclMOlc6vJX2M1CXuFmA75nyW3lORMT0AtmsK7M+D7Y45+vmSfgEsabuK7ClJKwIrA2MlbUx6D0HyM6umRJR2WAbUTmNMrWsJ7jySH2OoKGBSs0FaP1S9QkWDLrph0IZjqJ2ag5wLSjEeO2Iqhk+t5TRI2hx4yPajtl+UtBGwGylr5JhazBtpQYCtVhNQSYeQMna2Bl4it0EHvkM9hsr9zeNWB47K18HZI6ynV7qzHGcAO3Rt15RxAZXOr4FVgK+SMsBuJ2VZTCcdSy2fowBIWoXUbXBr0vvnauBQ2w8XFTYAkj5l+4v5+RTb5+VFihclfcH2kYUlDoYdgQ+S3k/dAc1ngRr0A3VbBrSFJplaa07DguYjaamukoJqyHWbB9BnhdD2/vN9UUPoWqHaDliRileo+rvoalgl7KYNx1AzkqbbrtKgTtKPgMttf7PP+AHADrb3KKNs+Eha1HbjTaEl3Qxsb/tJSdsCZ5P8jjYi1fxXUU6QAwyfJgXY3knygfm+7f9TVFgPZPPPDbp+jgN+YnuHAV9cEEknkm9kbf+5tJ5Xkmwse6ntKkohJG1te/pAYzVQ8fx6cZKR7GRSC/StgKdtr1tUWA9IugT4IfC9PLQvsI/td5RTNTCSbu5cq93P+9tuOpJ2s31+aR1BvXSbWtteO/tPnVfinqGKzB2l9qvfJkXAVpW0IfBvtj9cVtmg+R5wNylCfBzJxLSWlf9WrFC1wUm+DcdQKy1Jw/8YcEEupbkpj21G6pCyazFVPSJpAvAFYCXbO0talzShb3zrW2CRruycPYCpeUJ5vqRbC+rqiVr9avpQpQmo7QV6+dVMDnpq4N9sDF9jXk+O/sYaSwvm12NJJTTL5scj1JPB1mG87TO6ts/MZWdNR/N53t920/mFpL1JGYSz741tN75MF6q3DGgLjTG1riK4QzIC3ZFkmobt2/KqZy1MtD1F0ntsnyXph8BFpUUNhk4t8PxWqMqoGhKNueiGQRuOoVaqD3La/gswOd+ET8rDv7R9eUFZQ+FMUnDzqLz9O+AcKgnudGUZvR34UNe+Wr6PgXr9arpogwloq5D0NqDxLd1zQGQyML6Pf9AywCJlVA2ZKufXkqaSPn+eBa4nZbOdaLvx759+eFzSvsCP8vZepGBz0/F8nve33XR+RvIuu4muhbuKqNkyoC00xtS6msmk7Yf6LOg0vm1sFx1zt6clTQIeJUWHa6L2FarGXHTDoA3HUCUtCnJiexowrbSOYfAa2+dKOgLA9kxJtXwf/IjUSvxxUubIr2B2m/oqDCihXr+abmo2Aa0dSXcw783f8qSsi/ePvKKeWZyU6bIoc/vUPEN9nZpqnV+vCiwB3Av8CXgYeLqooqGzP3AK8BXSdXFNHms6G0p6hpQlMjY/J2/X1EYcYBXbO5UWMQxq90VtA40xta4luPOQpMmAc33tIdRT1gQwVdKrgc+QVkfGAUeXlTQ4WrRC1ZiLbhi04Rhqp/YgZxt4TtIK5JtDSVtSSWDE9n9Kugx4HXCx55jejSF579TC5C6/mmMlnUAF2WvQGhPQ2nlXn20DT9Ti+WL7SlKQ9kzbD5bWM0yqnF/b3imX8K1HmqN+Apgk6UngWtuN7xrXwfYfgXeX1tErtmu6BxiIayStb7uqkr6WWAa0giaZWldhqCzpNSRX/O1JEeGLgUNq6CwiaQywu+1zS2sZCpK2A94CHASc1rXrWeDntu8toWso5ItuB9J76KIaneTbcAw10hXk/Bhpda3DMsCutjcsImwUImlTkt/LJOBOYDzpM3aeNu/BwkHS9bbfLOk64J9JJQR32l6rsLQBaZMJaFAWSdPop/zE9tsKyBkSNc+vOyh1m9qa9B39LmAF28uVVTUwkj67gN3uyi4MFjKS7gImAveTgiMdz5oNigobAElnLGC3a2jcUzs583pCP1n92wJ/sv37kdZUS+bOOrb36R7IpRCN70hg+2VJ/w5UGdxp0wpVDoRUHQxpwzFUSqvS8GskG0xOB24hde9bhzQBu8f2Swt6bfCKU7NfTZtMQIOyHN71fElgN6DxXfv6UOX8Wqlj32RSUOclkt5rge9Qj6Fyf5lqS5G6664ARHBn5Ni5tICh0CbLgIo5Cegv43dG3rdLP/sWKrVk7syzmlbTCpuko0n+CufQ9WFe2cpI1StUbXCSb8Mx1I6k1WoPctaKpC+TJvNvBG4nt4MmpeBX81naNiQtQUV+NZG5EyxMJF1pe7vSOgZLrfNrSSeSvwNs/7m0nuGSm2McSgrsnAucYPuxsqpGF5K2AdayfYak8cA42/eX1jUYar2O24CkO21Pms++O2yvP9KaGp250yK/l05a3Ee6xgysWUDLUKl9haoNTvJtOIbaObNjaN1NLUHOmrF9OED2hdiM9N2wP/BNSU/bXrekvtFAS/xq2mQCGhRE0vJdm2OATYEVC8npidrn17Y/PvBvNZ/8Hvo4sA9wFrBJpR2/qkbS50jzinVI3TgXA75PygxrLLVfxy1hQfOGsSOmootGB3doTynEm2y/0D0gqapJpO2b+gxNl3RlETFDow1O8m04htqpPcjZBsaSJi7L5scj1JOGXzt7koLMAEcA53Xt24n+U5MbRctMQIOy3ERaqBPpe+B+UuZFDbRlfl0tkr5E8iybCqxv+++FJY1mdgU2JpUZY/uRnE3VdOI6Ls8Nkg60PVeDG0kHkL4jRpxayrJml0Jkg+Jxtp8Z4GWNoQ3pcvNZoTrZ9jqFJA2KLif57UgratU5ybfhGNpMbWn4tSJpKqkzyrPA9cB1wHWxyjlySLrF9sZ9n/e3HQRB86l9fl0zkl4mzeVmMrftQZTcjzCSfm17i869maSlSCXfjTZU7hCWAeWQNAG4APgHc4I5m5ECb7vafnSkNTU9c6fD8ZIOAmaR/nDLSjrR9pcK61ogklYEVialfm/MHLPGZYBXFRM2NGpdoeo2sppB6jTVwdTRvrcNx9AKak7DbwGrAksA9wJ/Ah4Gni6qaPTh+TzvbzsIWo2kxYCDgW3z0BXA6ZUZvFc5v24DtseU1hDM5lxJpwPLSTqQXPJdWFMvhGVAIWz/BZgs6a2kLq4Av7R9eSlNtWTu3Gp7I0n7kG6mPg3c1PSIqqQPAB8kRfBu7Nr1LHBmZFyMHPNzku871mTacAy1I+l+5g1yHmf76qLCRgmSRMremZwfk4AnSStsnyupbTQgaRapKYBI5XEzOrtIpsqLldIWBCONpG+RvDnOykPvA2bZ/tdyqnqj1vl1ELzSSHoHafFUwEW5O20VSNq0a3O2ZYDtTxWSFBSkluDOb4CNgB8Cp9i+UtJttjcsLG1QSNrN9vmldQyH2leoWlIaV/0xBMErgaRVSEaHk4F3ASvYXq6sqiAIRhP9zUNrmptC/fPrIBgOkiYCE/pZON0W+JPt35dRNnzCMmD0UktZ1unAA8BtwFWSViOZRdXCLyTtDaxO19/c9nHFFPXOqaQVqm/k7fflsUavULXBSb4Nx9AWag9y1oykQ0jXwdbAS+Q26MB3CEPlIAhGnlmS3tC5AZS0Jqm8qSZqn18HwXA4if4bAczI+3bpZ1/jCMuAoJsqgju2TwZO7hp6MNe21cLPgL+R6plfHOB3m8rmfVZyLpd0WzE1g6cNTvJtOIa2UGWQsyWsDvwYOMz2nwtrCYIg+CQwTdIfSKUcqwH7lZXUGy2YXwfBcFjd9u19B23fKGn1kZczZGr1RQ0WArWUZU0AvgCsZHtnSesCW9n+dmFpg0LSnbYnDfybzUXSzcCUPitUP66hJEjSIsA5tqsOhIQbfnnakIYfBEEQvDJIWgJYh3RTdbft6hbwJL2T5GW2ZGessszyIBgSku6zPbHXfUHQZKrI3AHOBM4AjsrbvwPOAaoI7gDXSFrfds2lA9WuUNme1SdlsVbCDb88bUjDD4IgCIaIpM2Bh2w/avtFSRuRDEwflHSM7ScLSxw0kk4jdW99K/AtUjbwr4uKCoKR4wZJB9qeqzOWpAOY09a68YRlQNBNLZk7N9jeXNIttjfOY7fa3qi0tsEg6S5gIilN7kVScMS1dSOoeYVK0gnAWsB5pG4vANTUsSzc8Msj6e2kQPNcQU7b04oKC4IgCEaEnMm8ve0ns/Hq2cBHScbEb6opS1jS7bY36Po5DviJ7R1KawuChU2uDLkA+AdzgjmbkewQdrX9aCltvdCGzn3BK0ctmTvPSVqBVE+IpC1JHja1sHNpAUOlRStUywNPAN1ZLgaqCe7Y7ruKMF3SlUXEjFJsXyZpLSoNcgZBEATDZpGuuc8ewNTcEfV8SbcW1DUUns8/Z0haiTRPWqOgniAYMWz/BZicfaY69hm/tH15QVlDoVZf1GAhUEtw5xPAhcAbJE0HxlORkaztByVtA6xl+wxJ40kGuTVwOrA9zG4N+F/MWaGaSiXnwXYVJWQLItzwy9GiIGcQBEEwPBaRtKjtmcDbgQ917atlXt3hF5KWA74E3Exa9PpWWUlBMLLk7OuaM7DDMiCYTaPLsiR9jNTu9pY81Fktv6emOkJJnyOl+a1je+28OnKe7a0LSxuQbrNYSV8H/mr7mLxdU2ncKsDXSG2UDVwNHGr74aLCekDS/czrhn+c7auLChsFtCkNPwiCIBg6ko4C/gl4HFgV2MS2JU0EzqphbtcfufR+Sds1ZcYHwagnLAOCbpq+wrAK8FXgjcDtwDWkYM8jQE0r5bsCG5NWRbD9iKSlF/ySxtCWFaozgB8CU/L2vnnsHcUU9YjtSJUuR5vS8IMgCIIhYvs/JV0GvA642HNWSceQgv6NR9KnbH8xP59i+7xcYvyipC/YPrKwxCAIBklYBgTdjCktYEHYPtz2ZFLpyZGkgM7+wJ3ZpLgW/pG//DueQUsV1tMLPwKulPQzUm32rwDyClVNqzvjbZ9he2Z+nEkq76sGSYtJOkTSj/Pj37NDfrDwWURSJ5j5dqC7HrumIGcQBEEwTGxfZ/sC290NGn5n++aSunpgz67nR/TZt9NICgmCYGhI2lzSigA5mLMRcBzwpZZ0CQ6GQKODO12MBZYBls2PR4DriyrqjXMlnQ4sJ+lA4FLgmwO8phHY/k+S59GZwDY1rlBlHpe0r6RF8mNfknFgTZxK8tn5Rn5smseChU9bgpxBEARBoPk87287CIJmcjqp01e3L+p3SfPSqQV1BQVpuufOVGA94FlSMOc64DrbTxUVNgQkvQPYgfSleZHtSwpLGlVIWhU4BdiKlEF1Dclz58Giwnqg2/9oQWPBwiF36euk4T+Xx9YGxlW0WhsEQRCMciTdbHuTvs/72w6CoJm0xRc1eGVpejnBqsASwL3An4CHgaeLKuqBvKo/wfb0HMy5JI9v2+1qHix8bP8ReHdpHcMk3PALYvu6fsZ+V0JLEARBEAyDDSU9Q1pwHJufk7eXLCcrCIIeaIsvavAK0ugTb3snSSJl70wmlQdNkvQkcK3tzxUVODAnkbyC+jIj79tlZOWMPiR9dgG7bfvzIyZm+HwSmCZpLjf8spKCIAiCIKgJ24uU1hAEwbDpWAY8TlgGBJlGl2V1k1tZb00K8rwLWMH2cmVVLRhJd9qeNJ99d9hef6Q1jTYkfaKf4aWAA0jvoXEjLGlY5Fal4YYfBEEQBEEQBKOYsAwI+tLo4I6kQ0jBnK2Bl0ht0K/NP++w/XJBeQMi6T7bE3vdFywccvv5Q0mBnXOBE2w/VlbVwEjaHHjI9qN5+/3AbsCDwDFdLbqDIAiCIAiCIAiCUUjTu2WtDvwY2ML2mrbfZ/sbtm9remAnc0PujjUXkg4AbiqgZ1QiaXlJ/xe4nVSKuIntT9cQ2MmEG34QBEEQBEEQBEEwXxqduVM7kiYAF5BuzDvBnM2AxYFdO5kYwcJD0peAfyYFQb5u+++FJfVMuOEHQRAEQRAEQRAECyKCOyOApLcCHe+d39i+vKSe0YSkl4EXgZmkFuizd5EMlZcpIqwHJN0JbGR7pqS7gQ/Zvqqzb36+TkEQBEEQBEEQBMHooNHdstqC7WnAtNI6RiO2m156OBjCDT8IgiAIgiAIgiCYL5G5EwQVEG74QRAEQRAEQRAEwfyI4E4QBEEQBEEQBEEQBEHFtKFkJQiCIAiCIAiCIAiCYNQSwZ0gCIIgCIIgCIIgCIKKieBOEARBEARFkbSKpJ9JulfS7yV9VdLig3ztFZI2G8b/fYykP0m6VdJdkvYaxr91nKTth/r6IAiCIAiCoRLBnSAIgiAIiiFJwE+An9peC1gbGAf8Zz+/O+wun5IW6Wf4K7Y3At4DnC5psaH827Y/a/vSYQkMgiAIgiAYAhHcCYIgCIKgJG8DXrB9BoDtWcBhwP6SXiXpg5LOk/Rz4GJJYyWdLel2SecAYzv/kKQdJF0r6eb8mnF5/AFJn5V0NTBlfkJs3wvMAF6dX/dJSTfk/+vYrv/naEl3S7pE0o8kHZ7Hz5S0e37+dkm3SLpD0nckLdGl5dis8Q5Jb3wl/5hBEARBEIxOIrgTBEEQBEFJ1gNu6h6w/QzwR2BiHtoK+IDttwEHAzNsb0DK7tkUQNJrgM8A29veBLgR+HjXP/uC7W1snz0/IZI2Ae61/ZikHYC1gC2AjYBNJW2bS8B2AzYG/hmYpyRM0pLAmcAettcHFs26OzyeNZ4KHD7A3ycIgiAIgmBAhp3eHARBEARBMAwEeIDxS2w/mZ9vC5wMYPt2Sbfn8S2BdYHpqdKLxYFru/69cxag4TBJBwJrAjvlsR3y45a8PY4U7Fka+Jnt5wFyRlFf1gHut/27vH0W8BHgpLz9k/zzJlKAKAiCIAiCYFhE5k4QBEEQBCX5DX2yXyQtA7we+H0eeq7Pa+YXDLrE9kb5sa7tA7r29/03uvmK7XWAPYDv5swbAcd3/XsTbX87jw/EQL/zYv45i1hoC4IgCILgFSCCO0EQBEEQlOQy4FWS3g+zDY9PAM60PaOf378K2Cf/7iRggzx+HbC1pIl536skrd2LENs/IZVzfQC4iOT70/HtWVnSa4GrgV0kLZn3vbOff+puYPWOFuB9wJW9aAmCIAiCIOiFCO4EQRAEQVAM2wZ2BaZIuhf4HfACcOR8XnIqMC6XY30K+HX+d/4KfBD4Ud53HTAUs+LjSF49lwI/BK6VdAfwY2Bp2zcAFwK3kcqrbgT+1ueYXgD2A87Lr30ZOG0IWoIgCIIgCAaF0pwqCIIgCIIgGAySxtn+u6RXkTKJPmT75tK6giAIgiAYvUSddxAEQRAEQW9MlbQusCRwVgR2giAIgiAoTWTuBEEQBEEQBEEQBEEQVEx47gRBEARBEARBEARBEFRMBHeCIAiCIAiCIAiCIAgqJoI7QRAEQRAEQRAEQRAEFRPBnSAIgiAIgiAIgiAIgoqJ4E4QBEEQBEEQBEEQBEHFRHAnCIIgCIIgCIIgCIKgYv4/07WmocFALNMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#基于不同的Order Region\n",
    "region = data.groupby('Order Region')\n",
    "region['Sales per customer'].sum().sort_values(ascending=False).plot.bar(figsize=(20,10), title='Sales in different regions')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:45.855730Z",
     "start_time": "2020-11-14T07:41:43.609601Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2546f898>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#按照不同的Category Name\n",
    "cat = data.groupby('Category Name')\n",
    "cat['Sales per customer'].sum().sort_values(ascending=False).plot.bar(figsize=(20,10), title='Sales in different category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:41:48.274062Z",
     "start_time": "2020-11-14T07:41:45.863730Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x255e49e8>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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AAACDUAQAAABAEqEIAAAAgEEoAgAAACCJUAQAAADAIBQBAAAAkEQoAgAAAGAQigAAAABIIhQBAAAAMAhFAAAAACQRigAAAAAYhCIAAAAAkghFAAAAAAxCEQAAAABJhCIAAAAABqEIAAAAgCRCEQAAAACDUAQAAABAEqEIAAAAgEEoAgAAACCJUAQAAADAIBQBAAAAkEQoAgAAAGAQigAAAABIIhQBAAAAMAhFAAAAACQRigAAAAAYhCIAAAAAkghFAAAAAAxCEQAAAABJhCIAAAAABqEIAAAAgCRCEQAAAACDUAQAAABAEqEIAAAAgEEoAgAAACCJUAQAAADAIBQBAAAAkEQoAgAAAGAQigAAAABIIhQBAAAAMAhFAAAAACQRigAAAAAYhCIAAAAAkghFAAAAAAxCEQAAAABJhCIAAAAABqEIAAAAgCRCEQAAAACDUAQAAABAEqEIAAAAgEEoAgAAACCJUAQAAADAIBQBAAAAkEQoAgAAAGAQigAAAABIIhQBAAAAMAhFAAAAACQRigAAAAAYDhmKqupVVXVXVX1gauykqrq+qm4ZP0+ceu7yqtpTVTdX1XlT499WVe8fz720qmr+HwcAAACA1VrJiaLXJDl/ydi2JDd091lJbhi/p6rOTrI1yTnjNa+oquPGa16Z5NIkZ41/S9cEAAAA4Cg6ZCjq7rcn+eSS4QuTXDkeX5nkoqnxq7v7nu6+NcmeJOdW1WlJTujud3Z3J3nt1GsAAAAAWANWe4+iU7v7ziQZP08Z46cnuX1q3r4xdvp4vHQcAAAAgDVi3jezXu6+Q30/48svUnVpVe2qql379++f2+YAAAAAOLjVhqKPjcvJMn7eNcb3JTljat6mJHeM8U3LjC+ru6/o7i3dvWXjxo2r3CIAAAAAh2O1oejaJBePxxcnuWZqfGtVHV9VZ2Zy0+r3jMvT7q6qJ4xvO3v21GsAAAAAWAM2HGpCVV2V5HuSnFxV+5K8KMmOJDur6pIktyV5RpJ09+6q2pnkxiT3Jrmsu+8bSz03k29Qe0iSN49/AAAAAKwRhwxF3f3Mgzz15IPM355k+zLju5I89rB2BwAAAMARM++bWQMAAACwTglFAAAAACQRigAAAAAYhCIAAAAAkghFAAAAAAxCEQAAAABJhCIAAAAABqEIAAAAgCRCEQAAAACDUAQAAABAEqEIAAAAgEEoAgAAACCJUAQAAADAIBQBAAAAkEQoAgAAAGAQigAAAABIIhQBAAAAMAhFAAAAACQRigAAAAAYhCIAAAAAkghFAAAAAAxCEQAAAABJhCIAAAAABqEIAAAAgCRCEQAAAACDUAQAAABAEqEIAAAAgEEoAgAAACCJUAQAAADAIBQBAAAAkEQoAgAAAGAQigAAAABIIhQBAAAAMAhFAAAAACQRigAAAAAYhCIAAAAAkghFAAAAAAxCEQAAAABJhCIAAAAABqEIAAAAgCRCEQAAAACDUAQAAABAEqEIAAAAgEEoAgAAACCJUAQAAADAIBQBAAAAkEQoAgAAAGAQigAAAABIIhQBAAAAMAhFAAAAACQRigAAAAAYhCIAAAAAkghFAAAAAAxCEQAAAABJhCIAAAAABqEIAAAAgCRCEQAAAACDUAQAAABAEqEIAAAAgEEoAgAAACCJUAQAAADAIBQBAAAAkEQoAgAAAGAQigAAAABIIhQBAAAAMAhFAAAAACQRigAAAAAYhCIAAAAAkswYiqrqP1bV7qr6QFVdVVUPrqqTqur6qrpl/Dxxav7lVbWnqm6uqvNm3z4AAAAA87LqUFRVpyf56SRbuvuxSY5LsjXJtiQ3dPdZSW4Yv6eqzh7Pn5Pk/CSvqKrjZts+AAAAAPMy66VnG5I8pKo2JHlokjuSXJjkyvH8lUkuGo8vTHJ1d9/T3bcm2ZPk3BnfHwAAAIA5WXUo6u6PJPlfSW5LcmeSz3T3W5Kc2t13jjl3JjllvOT0JLdPLbFvjAEAAACwBsxy6dmJmZwSOjPJI5N8VVX92P29ZJmxPsjal1bVrqratX///tVuEQAAAIDDMMulZ9+b5Nbu3t/dX0jyhiRPTPKxqjotScbPu8b8fUnOmHr9pkwuVfsy3X1Fd2/p7i0bN26cYYsAAAAArNQsoei2JE+oqodWVSV5cpKbklyb5OIx5+Ik14zH1ybZWlXHV9WZSc5K8p4Z3h8AAACAOdqw2hd297ur6vVJ3pfk3iR/leSKJA9LsrOqLskkJj1jzN9dVTuT3DjmX9bd9824fwAAAADmZNWhKEm6+0VJXrRk+J5MThctN397ku2zvCcAAAAAizHLpWcAAAAAHEOEIgAAAACSCEUAAAAADEIRAAAAAEmEIgAAAAAGoQgAAACAJEIRAAAAAINQBAAAAEASoQgAAACAQSgCAAAAIIlQBAAAAMAgFAEAAACQRCgCAAAAYBCKAAAAAEgiFAEAAAAwCEUAAAAAJBGKAAAAABiEIgAAAACSCEUAAAAADEIRAAAAAEmEIgAAAAAGoQgAAACAJEIRAAAAAINQBAAAAEASoQgAAACAQSgCAAAAIIlQBAAAAMAgFAEAAACQRCgCAAAAYBCKAAAAAEgiFAEAAAAwCEUAAAAAJBGKAAAAABiEIgAAAACSCEUAAAAADEIRAAAAAEmEIgAAAAAGoQgAAACAJEIRAAAAAINQBAAAAEASoQgAAACAQSgCAAAAIIlQBAAAAMAgFAEAAACQRCgCAAAAYBCKAAAAAEgiFAEAAAAwCEUAAAAAJBGKAAAAABiEIgAAAACSCEUAAAAADEIRAAAAAEmEIgAAAAAGoQgAAACAJEIRAAAAAINQBAAAAEASoQgAAACAQSgCAAAAIIlQBAAAAMAgFAEAAACQRCgCAAAAYBCKAAAAAEgiFAEAAAAwCEUAAAAAJBGKAAAAABiEIgAAAACSCEUAAAAADEIRAAAAAElmDEVV9Yiqen1VfbCqbqqq76iqk6rq+qq6Zfw8cWr+5VW1p6purqrzZt8+AAAAAPMy64miX0/yR939jUm+OclNSbYluaG7z0pyw/g9VXV2kq1JzklyfpJXVNVxM74/AAAAAHOy6lBUVSck+a4kv5Uk3f1P3f3pJBcmuXJMuzLJRePxhUmu7u57uvvWJHuSnLva9wcAAABgvmY5UfR1SfYneXVV/VVV/WZVfVWSU7v7ziQZP08Z809PcvvU6/eNMQAAAADWgFlC0YYkj0vyyu7+1iSfy7jM7CBqmbFedmLVpVW1q6p27d+/f4YtAgAAALBSs4SifUn2dfe7x++vzyQcfayqTkuS8fOuqflnTL1+U5I7llu4u6/o7i3dvWXjxo0zbBEAAACAlVp1KOrujya5vaoePYaenOTGJNcmuXiMXZzkmvH42iRbq+r4qjozyVlJ3rPa9wcAAABgvjbM+Pr/kOR1VfWVSf4+yb/PJD7trKpLktyW5BlJ0t27q2pnJjHp3iSXdfd9M74/AAAAAHMyUyjq7r9OsmWZp558kPnbk2yf5T0BAAAAWIxZ7lEEAAAAwDFEKAIAAAAgiVAEAAAAwCAUAQAAAJBEKAIAAABgEIoAAAAASCIUAQAAADAIRQAAAAAkEYoAAAAAGIQiAAAAAJIIRQAAAAAMQhEAAAAASYQiAAAAAAahCAAAAIAkQhEAAAAAg1AEAAAAQBKhCAAAAIBBKAIAAAAgiVAEAAAAwCAUAQAAAJBEKAIAAABgEIoAAAAASCIUAQAAADAIRQAAAAAkEYoAAAAAGIQiAAAAAJIIRQAAAAAMQhEAAAAASYQiAAAAAAahCAAAAIAkQhEAAAAAg1AEAAAAQBKhCAAAAIBBKAIAAAAgiVAEAAAAwCAUAQAAAJBEKAIAAABgEIoAAAAASCIUAQAAADAIRQAAAAAkEYoAAAAAGDYc7Q2sNZu3XbfiuXt3XLDAnQAAAAAcWU4UAQAAAJBEKAIAAABgEIoAAAAASCIUAQAAADAIRQAAAAAkEYoAAAAAGIQiAAAAAJIIRQAAAAAMQhEAAAAASYQiAAAAAAahCAAAAIAkQhEAAAAAg1AEAAAAQBKhCAAAAIBhw9HewAPF5m3XrXju3h0XLHAnAAAAAMtzoggAAACAJEIRAAAAAINQBAAAAEASoQgAAACAQSgCAAAAIIlQBAAAAMAgFAEAAACQRCgCAAAAYBCKAAAAAEiSbDjaG2A2m7ddt+K5e3dcsMCdAAAAAOudE0UAAAAAJJlDKKqq46rqr6rqTeP3k6rq+qq6Zfw8cWru5VW1p6purqrzZn1vAAAAAOZnHpee/UySm5KcMH7fluSG7t5RVdvG7z9XVWcn2ZrknCSPTPInVfUN3X3fHPbAArisDQAAAB5YZjpRVFWbklyQ5Denhi9McuV4fGWSi6bGr+7ue7r71iR7kpw7y/sDAAAAMD+zXnr2kiQvSPLPU2OndvedSTJ+njLGT09y+9S8fWPsy1TVpVW1q6p27d+/f8YtAgAAALASqw5FVfXUJHd193tX+pJlxnq5id19RXdv6e4tGzduXO0WAQAAADgMs9yj6ElJnlZVP5DkwUlOqKrfSfKxqjqtu++sqtOS3DXm70tyxtTrNyW5Y4b3BwAAAGCOVn2iqLsv7+5N3b05k5tUv7W7fyzJtUkuHtMuTnLNeHxtkq1VdXxVnZnkrCTvWfXOAQAAAJireXzr2VI7kuysqkuS3JbkGUnS3burameSG5Pcm+Qy33gGAAAAsHbMJRR199uSvG08/kSSJx9k3vYk2+fxngAAAADM16zfegYAAADAMUIoAgAAACCJUAQAAADAIBQBAAAAkEQoAgAAAGAQigAAAABIkmw42hvggWfztutWPHfvjgsWuBMAAABgmhNFAAAAACQRigAAAAAYhCIAAAAAkrhHEccQ9z4CAACA2ThRBAAAAEASoQgAAACAQSgCAAAAIIlQBAAAAMAgFAEAAACQRCgCAAAAYBCKAAAAAEgiFAEAAAAwCEUAAAAAJBGKAAAAABiEIgAAAACSCEUAAAAADEIRAAAAAEmEIgAAAACGDUd7A7AebN523Yrn7t1xwQJ3AgAAAIvjRBEAAAAASYQiAAAAAAahCAAAAIAkQhEAAAAAg1AEAAAAQBKhCAAAAIBBKAIAAAAgiVAEAAAAwCAUAQAAAJAk2XC0NwAPZJu3XbfiuXt3XLDAnQAAAIATRQAAAAAMQhEAAAAASYQiAAAAAAahCAAAAIAkQhEAAAAAg1AEAAAAQBKhCAAAAIBBKAIAAAAgSbLhaG8AmL/N265b8dy9Oy5Y4E4AAABYT4QiYMUOJ0AlIhQAAMB6IxQBa4JTUAAAAEefUAQc0wQoAACAlXMzawAAAACSCEUAAAAADEIRAAAAAEmEIgAAAAAGoQgAAACAJEIRAAAAAINQBAAAAEASoQgAAACAQSgCAAAAIIlQBAAAAMCw4WhvAGA92rztusOav3fHBQvaCQAAwPwIRQBrzOFEKAEKAACYJ5eeAQAAAJDEiSKABwwnlQAAgENxoggAAACAJE4UATAjN/YGAIBjhxNFAAAAACQRigAAAAAYhCIAAAAAkghFAAAAAAyrDkVVdUZV/WlV3VRVu6vqZ8b4SVV1fVXdMn6eOPWay6tqT1XdXFXnzeMDAAAAADAfs5woujfJ87v7MUmekOSyqjo7ybYkN3T3WUluGL9nPLc1yTlJzk/yiqo6bpbNAwAAADA/qw5F3X1nd79vPL47yU1JTk9yYZIrx7Qrk1w0Hl+Y5Oruvqe7b02yJ8m5q31/AAAAAOZrLvcoqqrNSb41ybuTnNrddyaTmJTklDHt9CS3T71s3xhbbr1Lq2pXVe3av3//PLYIAAAAwCHMHIqq6mFJfi/Jz3b3Z+9v6jJjvdzE7r6iu7d095aNGzfOukUAAAAAVmCmUFRVD8okEr2uu98whj9WVaeN509LctcY35fkjKmXb0pyxyzvDwAAAMD8bFjtC6uqkvxWkpu6+1ennro2ycVJdoyf10yN/25V/WqSRyY5K8l7Vvv+ABz7Nm+7bsVz9+64YIE7AQCAB4ZVh6IkT0ryrCTvr6q/HmM/n0kg2llVlyS5LckzkqS7d1fVziQ3ZvKNaZd1930zvD8ArIoABQAAy1t1KOrud2T5+w4lyZMP8prtSStjyfoAACAASURBVLav9j0BAAAAWJxZThQBAFMO56RS4rQSAABrz8zfegYAAADAscGJIgBYBxZ1XyX3awIAYJoTRQAAAAAkEYoAAAAAGFx6BgDMnUvaAADWJyeKAAAAAEgiFAEAAAAwCEUAAAAAJHGPIgBgnXH/IwCAxXGiCAAAAIAkQhEAAAAAg0vPAADikjYAgMSJIgAAAAAGJ4oAABZokSeVnIICAObNiSIAAAAAkghFAAAAAAxCEQAAAABJhCIAAAAABjezBgDgSyzqJtluvg0Aa59QBADAuidCAcB8uPQMAAAAgCRCEQAAAACDUAQAAABAEvcoAgCAg3LvIwAeaJwoAgAAACCJE0UAAHDEOakEwFolFAEAwDFEhAJgFkIRAABwSAIUwAODexQBAAAAkMSJIgAA4ChyUglgbRGKAACAY87hBKjk8CKUuAUcy4QiAACANUCAAtYC9ygCAAAAIIkTRQAAAMe0RV6GBxx7nCgCAAAAIIlQBAAAAMAgFAEAAACQRCgCAAAAYBCKAAAAAEgiFAEAAAAwCEUAAAAAJEk2HO0NAAAAsD5t3nbdiufu3XHBAncCzIsTRQAAAAAkcaIIAACANWZRJ5UOZ93DXRuOFUIRAAAAzMhleBwrXHoGAAAAQBInigAAAGDNclKJI82JIgAAAACSCEUAAAAADEIRAAAAAEncowgAAAAecA7n3keJ+x89kDhRBAAAAEASJ4oAAACAOfJNbeubE0UAAAAAJBGKAAAAABiEIgAAAACSuEcRAAAAsA6499GR4UQRAAAAAEmEIgAAAAAGl54BAAAAD1guaftSThQBAAAAkEQoAgAAAGAQigAAAABIIhQBAAAAMAhFAAAAACQRigAAAAAYNhztDQAAAAAcizZvu27Fc/fuuOCor5schRNFVXV+Vd1cVXuqatuRfn8AAAAAlndEQ1FVHZfk5UmekuTsJM+sqrOP5B4AAAAAWN6RPlF0bpI93f333f1PSa5OcuER3gMAAAAAy6juPnJvVvX0JOd390+O35+V5PHd/bwl8y5Ncun49dFJbl7hW5yc5ONz2u56XneRa6+3dRe59npbd5Frr7d1F7n2elt3kWuvt3UXufZ6W3eRa6+3dRe59npbd5FrW3fxa6+3dRe59npbd5Frr7d1F7n2elt3kWuvt3UXufZ6W/dw135Ud29cOnikb2Zdy4x9Wanq7iuSXHHYi1ft6u4tq9nYsbTuItdeb+sucu31tu4i115v6y5y7fW27iLXXm/rLnLt9bbuItdeb+sucu31tu4i17bu4tdeb+sucu31tu4i115v6y5y7fW27iLXXm/rLnLt9bbuvNY+0pee7UtyxtTvm5LccYT3AAAAAMAyjnQo+sskZ1XVmVX1lUm2Jrn2CO8BAAAAgGUc0UvPuvveqnpekj9OclySV3X37jm+xWFfrnaMrrvItdfbuotce72tu8i119u6i1x7va27yLXX27qLXHu9rbvItdfbuotce72tu8i1rbv4tdfbuotce72tu8i119u6i1x7va27yLXX27qLXHu9rTuXtY/ozawBAAAAWLuO9KVnAAAA/5+98w6TpCq7+O/skkGCsCTJSEZQgkQRJChGUAFRgooEA4IoKioiQVHAgKCICIhITqIEWXKOS44KGAgqioSVIALn++O9tVPd2zO7U/fW7vTHnOfpZ6a6d07VVlfVvfcN54xiFKMYxShGKEYDRaMYxShGMYpRjGIUoxjFKEYxilGMYhSjAEYDRaMYxYiCpDGS5pzexzG9IGm9qXlvFCMfr/VreVpC0gLT+xhG8drAa/m+lrTk1LzXgFeSFp3yv3xtoK3z3O94Ld97oxjFKKYPRjWKRjGKqYSk3wHdN8wzwC3A0bZfbMh7MrAb8AowAZgL+IHtQzMOt1VI2qvH288AE2zfnsF7q+3VpvReQ+5bgOOBk20/lcvXNiQtDTxq+7+SNgRWAX5l++kC3HsQ52Ii8AvgLcBXbY/P5G3lWpb0wR5vPwPcZfuJTO7X93h7ou3/ZfK2co5r/HMBHwI+Cqxg+w0FONu6LsYCn7f9w9xjnFZo8Vy0el20gdL39SD33CTY/ndD3l7jUp33B014a/y9xqcJtlfP4S3J04O36PNtkGfxJNg+uwlv1z5aO89tQ9Lstp8ryNfWmLoV8HvbEyV9A1gNOMj2rZm8rc1b2oSksbZfmd7HMRxIegOwODVjKttXTb8jGhxtjnv9ds312xygryuKJB0iaU5JM0q6VNK/JG03vY9rMEiaKOnZrtcjks6RtFTB/cwjaZVSfP0ISav1eC0tKcfp72HgP8Ax6fUs8A9g2bTdFCvafhbYArgAWAzYPoOv5/+/9tnyOdwJaxCTlzek1y7AhsAxkr7c4HjXkfRFYJykvWqvbxEOiSXwEWBh4GZJp0p6pySVIJZ0saS5a9vzSLook/Ys4BVJbwSOBZYETs7krPDJdM1tBowDPgF8twBv8Ws5YSdiQP1Yeh0D7AVcKymX/1bgn8AfgD+m3/8k6VZJOQuT4udY0qyStpF0LnA38APgIKBUNUIr10WagH8gl6cXJK0nafb0+3aSfiBp8QLUbd0jbfG2OScqfV9PIBIsE3q8bsngfd0UXo0gaXlJHwLmkvTB2uvjwCwZx1vHDZLWLMRVR+nn2/uGeL0350CnxXlu6x6RtK6ke4H70vaqkn6afcDtjan7piDR+sA7gROAowrwFp+3SLpL0p09XndJurPAMQM8KOlQSSsW4utA6XWZpO8B1wLfAPZOry+V4m8BrY17tDtXbgNtnoviyFk0jwRsZvvLkrYEHgW2Ai4Hfp1LrGh3+RYD0VoBtp0T0PkB8DhxAYtYuC4IPAAcRyy0mx7vFcD707HeDvxT0pW2h8ywTQ9IuovJK3Ng4ByXeJj+lMiQ3Jl4V06/zytpt4aR27fY3qC2/TtJV9neQNI9Gcc6o6QZiYnAkbb/Jym31O/7XdsG3pF+/yKwcyb/vMBqtv8DIGk/4ExgA2Kyf8gw+WYC5iCu3/qE/lngw5nHCoDtB4GvS9qXmNAeB7wq6Tjg8KZZ7IT56tkL209Jmj/viHnV9svp+fYj20dIui2Ts0IVIHs3cLztOwoFzdq4lgFeJapm/gGTWq2OAtYCrgJOzOD+PXCO7YsS92bAu4DTiefIWg15i55jSScR99d44EjgMuBB21c05ey1m/Sz9HUBEdQ7EjgNmJRxz81gE9fBqpJWBb5MTBR/Bbw9k7etc9HmOW5rTlT0vrbdShuR7f3b4AWWI8aMuYmASIWJ5I+lFTYCdpX0F+L+KDUfKvp8s/2JzOMZCtPiPLd1j/yQCLj8FiDd1xsM/SdThbbG1Kp65j3AUbbPTYm5XLQxb8kKQE4lViHWZL+QNIaYH56aFvSN0PK6bAtgOdv/LcA1LdDmuNfmXLkNtHkuiqPfA0Uzpp/vBk6x/e+C5/pY4AvEordUOeK7bNcH5Z9LusH2AZK+lsk9l+1nJX2KuPD2KxFpVzvlqdPiof9nYCfb9wCkLMHewIHA2cRia7gYJ2kx239NnIsB86XPXso41qPT8d4BXJWy4Y0HJwDbGw3xWYkJ12J0/p//Byxu+wVJwx64bF8JXCnpl7b/UuD4eiJldD5BPDPOAk4C1icW3W/OoH6169pYnN7B0OHgf5K2BXZkYNI84xD/fjiYIGk8kXnZR9LriGBMLopfywlLVEGihCeAZdMzP6tFDFjD9m7Vhu3xkr5jey9JM2fwlj7HKwNPERnr+22/UmjBUEdb1wXAuunnAbX36gHspnjZtiV9gAj4Hitpx0xOaO9ctHmO25oTtXJfp8nxx4AlbR+YxtQFbd/UkO/HQ31u+/NNeG2fC5wraR3b1zfhmAps3hJvK8+3FKz/DrCw7c3THGsd28c25UzBivOAr9j+TlOeKaC1dYPtR7q4Sqwd2hpTH5N0NLAJ8L10LZToMik+b6nPCdP/fxnbl0ialULrWNsTSd0CKcB3CvBDSWcCB6ZE43DRyros4WHivBYNFEk6iwiSXWi71LgE7Y57rcyVFZXKL9h+VdKywPLEecmdc7Z2Llo5Ztt9+wIOBu4HbiMuinHAjYW4i/B0cV4PbE08jMek329In92eyX0XsBARAFkzvXdngWO+M/1cH7iaaB8ofm5aONeTnc/qvabnmphY/JXIPl0B/IXIxswO7Fn4+GfI/PsvAYu0eH73JUra90uvW4BvpnNxUgbvssDP03V8WfUqdMwTgEsJTZeZuz47O5P7XenaODG9/gK8M5NzReDHwLZpe0mij7nEuRhDBH3nTtvzAqu0dK1kXcuJ46fAecREYEcia/vTdL1dnsk9HvgKUT26OFGVcjHR8njrSDrHxKB/AFGFejXRRrJgwe9qml0XBY/5SmAforVmwfS93TVSz0Wb55goX29lTtRjXyXu66OAnwD3pe15gJsz+HYc6lXgeJdNY8jdaXsV4BuFz+v8RCJmMWCxAnxtPd8uJOawd1TXQ4n7LnFdXvKcdnG3co8QFdXrEvOimYg52Kkt/R9K3HuzAR8kgi4Q64fNCvC2OW/ZGbgZeChtLwNcWoh7LFH9c066NvYCFiAq2v/QkLOVdVniOQt4kAgk/rh6FeDdhEigPpTuleULHW+b414r1xyxZpiNkNd4JF0bjdc30+hcFD/mvhWzTqWBaxPZ1Wcd2dXZgdfZ/nsB/u8SD46zqUVsnVFJo9AhOhxYh8ik3kBULT0GrG77mgzuDxML9Wtsfybt61DbH2rKmXhvs/0WSQcTk4CTq/cyOCcydOtZtquDpNOAfwOnpre2Iap/tifOUSMtgJR1WT4d6/1uKGCduFoT3pT0Q2KA+xORGTnD9r+a8g2yjzWA9YhzcY3tHG2JivMO4Gd0VfLZnlCAeynbD3e9t6TtP+VyJ675iGeSgOtLnG9JMxHXm4EHbOdUrtV5tyQCcM+k7bmBDW3/JpN3XiJwuD5xzNcAB9h+MpNXhHDzpOsNOMsFBrD0vVXHXHHvT4hlL+ZmmcR6tcRSjqrRrGqJHvxrEEHPDxNCjutO4U+mhvNS2xtP6b2G3MUrEBLvgsR5uNn21ek8b2j7V5m8bZ6LD1K7R2yfk8tZ456HwnOiFr+7W22vVp9TSLrD9qo5vG1B0pVEZfLRteO92/bKBbjfT7SML0xUTC5OBNBWyuRt6/l2s+01u767223nVOZW3N8mRJtLt6lW/G3cI/MR8/tNiPM8HtijwNjXyr2XuNcnAkXHSxoHzFFiPpQqfRaz/UAuVxfv7cBbicBedc3dZftNBbgfJpLAx9q+ruuzH7tBNaKiI2Nf4Frbny61LkvcPatmbZ+Qy5345wK2Bb5OBByOAX7tYVamqKaP2gsF7+ni11xtfNodmNX2Ibnr38R7JiFmXbpqq5Vj7ttAEYCk622v0xL35T3etu3cMvlWIGk929dO6b0GvOcRgaxNgNWBF4CbRupErkJ6aHyGzsnRT4EXgdmctHUa8K4LLEGny0CjBYlC1weiL39NUm87UTp5le1PNeGt8YvQNPkIUQl2BxE0OsdRZpsFhZPRAnSei79mcrbmbKIWnFQkLW/7/sEGw8zA8nuIoNlDxDW8JLCr7Qubcta4J5vQFxoALyY0gyq9h48Ri/ZNcnj7EZKOIsqJ32F7hbQ4Gd80SD3EfgRs4GjfbMoxC5GFupzQyqv6J+YkJjMrFDjOC4nJ0ddtr6owFrgtd5Iv6Xu2vzKl94bB1+q5UAjcvpF4FkMkMR6y/dlM3nmJgFllVnAf0VqTtVBN3G19dzcSVRg3p8ntOOIeyX0OjSOqaFakJoKcO39rOThyB9GGeUlKzm1EZMh3yeVuAwr9lQ8BF6fvbm3ge7ZztcFanX9L+iyRYX86bc9DnOcSwtPF0eK9tx9hSrKc7WUlLUwkFNfL5H0fcBgwk+0lJb2ZSBa9P4c3cd9oe61aAnsGoiouW9dU0hxN1wX/35DGku2IxPrjDEg0vMn2hsPk6nUvVyh1T7dyzSl0jj5D6I/tZPueEoFJSZsQEhhrA2cAv7R9fw5njbv4Mfe7RtF4hUPC2SUyy3V4CI2XpkiTl52ZPNDwyQL0RxClbFN6b7jYmmirOcz205IWIjJqxaAQ/a1P5rKCDYnjBSI71y3qDOFcNmxIOhFYmhClq6pdTAinNjnG/RPveEIYemLa/hbx8MhCuicq7Z/PEcG+7xLBh9lyuFO0ej/C9e0VUjUYUYqfg99J+gxRLlmv5GssNK1weVuJ5KRS+2hO8p1U9iIc33pdZ7n6K98HNqoyvgoL0POJkv9c9NIiKDEevN72gbXtgyRtkUuavrfvEW0Zomz14bJEm8ASdD6Xcycwa1XVEonvKUWFWNPjHFJ/hbjXm2JXYE+immECA8GRZ4nWoBKYz/bpkvYBcIhPltDw2JQICtSxeY/3phZtn4u3AytXcxZJJxAtCo0haQWiTfciom1CRPLha5LeUWAS2tZ392PiWT9/qiL5MOHik4uTiGqU9xDunDsSbZq5+Fd6Dlff3YeBvxXgBfif7ScljZE0xvblCmejLLT4fNuLSG4tLelaooWrlPFE8fl3DTvbnnQfp+fyzkQisTEkHUI4UL5ACIivSkgS5Ipkt3XvbUnYct+aeB9XaKXk4ltE1c8Vifd2SaXE669U6LnOKmlTYkH8u0LcC6fkzgK2V1boWb7f9kFNCdO9V5pzMDMgAHKDZpLOJpINJwLvs109306TNOyugZbv5Qrfop1rbg+irf2cFHBZikggZcH2JcAlGqjaulhS46qtLuxZ+pj7PVC0F6FR8YqkFyi7eGij3PNcQlfiEgoJZEtah8jIjVNnK9OcFLAVt/08cLak+RUl/RD93dnQIKXWxKI+l7vbtQ4A57nWrUFYlZYuw+sWhn6JmNQVgaQ3EVVF2wBPArnC6RAP0OVKZKu7UJXT1oORBnK+t9acVKpsb0uD4RPubAt4mLhPSuAWST8gFr4GdicWxbm4XNJHCEcdiIXD+QV4DyEmLfcV4OrGGUTw9BeUMy6AEFgcy8Cichx5goW7AXcT5/ZxBgIY2bB9uMKR7Gtdgb6SeC5lKqvzsTbR/tIIkj5NLBSWUqdA6OuA63r/1ZQxDc7FA8QzvxJoXZRw5MzBgUSby+n1N1Mi7dtE5UcOin53iWMM0Rr9ZWBj4nreotA9Pq9D1HwPDxgl5ARSK3yW0NBbXtJjxPFnW6snPC1pDmKOeJKkJ4CXC/AWf76l59rb02s54rt7IHOBU+efi0hEVa5hVxIVAlnXXMIYSaoFascSmkK5aMtNrfi9l/CSbSsZIiha8ErgZdvPqFPUu9Sc+SvAp4jA+q7ABcR1XQLHkNpKAWzfKelkIvg3kjjbNgM60vZlvT6wvcZwybqSs704zx4uZw+0dc39tV6VZPvhVDCQja6qrdsYqNrakQwH9Gq8q20/DDQycajQ14Ei2yWi34Phl6Ryz7T9ByJDlRMoms0Ny+GHwIy0aCveI5izGBEoyg7mEJPbtekqtS7AC+241t1NiKWWyiBWOBG4SVKlU7EFkNVnLGkZIji0LfH/P5WYyDw85B9OPR6hzGSlA27BNtnTwLFGvd0BD7Q9bIvO2sB6j6QLiMCAiYnnzYUOeXeid/40BvQUGre+aEB3TEQAv5ocjyEq+PYb5E+nFv9oKUgEMck4qgXeqlpigULVEgsR18A2xALyNEKn6ancAwVw6HW8m3gut4HSFQgnE9V1BwNfrb0/MacCEdo5F5J+R9wjcwH3Sbopba9FRmAr4U22JzuXts+SVMI9qnj1iMOV5fsO+YAiyacaqoDF3xQtvI8Di+SSpvFzk7SoHuMCLdw1fICoRtmTaNmdi06HwKYo/nxL98cHbP8QuKckd8JxxHxr67S9PTEfH3LROZW4CDhd0s+I+283ogIoF225qbVVuXW6wvVs7lRR9UkisJGLuyV9FBib5qGfJ//5VgWW73TogZU4zm7MZvumru8sN1BbnNM9XIElvdf2eTm8NVyXig7qOpNHubke6/uG+MyEDnAuWrnmgLMkvd/2YwCS3g4cCeS2nhWt2qrx7khK4qe37iMEzvP0GssXR0w7SJNZqy4KLOQCYqFqoRdd0kHAdbYvyD2+GueltjeWdLrtraf8F8Pmb61vXtItttdI+3hLmjjeZPutBbhvtL1WLk8X5+WEhfpNdLZFlei9Xg14G/HgvLpJgKGL72FCA+NU21ltDYPwH0s8jM6n81w0FuBOvLMRE6PFbO+SHvrLlRgEJR1PjyyDC7R+SrrT9ioKcciDiX7przW5BtNxDgaXON5+g6TDiSDtb+i83rInGYpWzyco2O5Y416eqJaAEA8vEuyS9AYiCLwXYSVdKsu1P1HdUrydO/HPQAsVCIm7aAtz6XORJpmDwnkaU5Ppr03NZ8PcR/Hvrq3rTdJ7icqcRYkW/DmB/W3/dsg/nDLvN3u9b7tEQAd1Wn/PBozNDUa19XxTi4LTvebaufPvGs8YohqlqmIbD/zCdlZCUWGAswUR7HsrUcF8Xol5aFvPTUX71maJ9yLbFxfgnI1IsE/iJZJmjY1fatwnAfvkPtsH4b4Q+Byh07Saoq10J9ubjyTOQfZT5BmfuE4nqu2rZN+2wDy2tyrB3wbauuYkrUm0pL6PSP5+hwjsPJLJ+47BqrYyOHcgiiP2ItpJRRzzocDhOcGifg8UtSYWqhaE+lLWfXZisP4fBVrlJN0LfJooLf4oXe0IuYN2y8GcS4iB9buEPeAThIVkCfeeNlzren73ORP8GveqRJl1FSi6I5PvYtub5h7XEPw9K0ScdJcyeE8jqsB2cPR0z0o4iJWYINbbL2YhevQfdwM3ix7cxd0B24CkH9nes1bd0IHcoKekDXq9b/uqTN5ewbMiQTNJvVxe7Lw21Yp7VSIADAXu68S5GjF525S4V75v+95c3sRdjVGvEAueku3crYjIKoQsf0B5t6jqXLxMmCAUOxelIelR4hxM9hGhk7JoJv9YQu9nCTpbuXMTA31zjgEkfbG2OQvRBnJfoefQzoTe3ettL52SJD9zpsteW883tSs4fT2wt5MTsEJK4DC3ZF5TCup0U5sNmNMN3dSqxaQGad3JTZJI+gIRwHg0h2daQtJlhPbaTXQGJ0ska5ci2krXBZ4i2ko/5h4VPJmc29n+c+7xdu2n2FxTPVwne73XkPs9RDdKPaFTJMjeFhTyLkcT49N7bGdr3UmakVi311trf5YTAJZ0A/CR7mtL0hJEwcDajbn7PFDUmrVqmowfAaxMlMCOAz5sO1dLoCiqCDVRJthdspY9aNeCOQcT9vIlgzmzMzA5rEqtT3IZl5a+ca2TtAehlXMWcS62BH5u+4gMzmIZhmmJWmCydbvklFm8pNDEtrg7YBsVUJJWtz2hraBnCkBVmIXIrE4Yifdd2yh9X6fqi/cS5cSnEq2OJTRMpgkGqRIo4bTXb25RVZsmhDbKjMBzmQmjIVs7CwTwLyDG6ruo6Wzl8raFtEA7HFiHON7rgS+4XOt1tZ+Zgd/afmcBrtasv/sNCteiE4g5oYB/AzvmzL+Vqu41iBiw80WAe7WfH9Q0OSlpf9v7tZUkSc+MrYlzeypwpu1/ZPC1moRK+2gzWVvNjSa1lUp6n+1ssWy106pa53+rC3TSJK5fEkGLG9L2WsS995lM3spEZyNCV+rDxBx5p7wjBklrENqrS9CZyGh0T/e4hlckJEeeSry5CdVfEON+JTGyPfCKM5yuJd1re8XhfjZV3H0eKGrFWrXGX6TcUy1aaNf2sa9bEN5MD7gXCK2RosGcxL8gMTky8T02yr60CUnX2F6/a4IPhbKfCiHWdWw/l7ZnJ6poGk9cFK1nXxrs86bZqGlQkXIdURJ+bbqnlyb6/bMr2HrsazngfNtvLMA1G+EOeJftPyrcAd9ke3wGZ2sVUNMKinbgQ2w30h6T9GXbh0g6gt7XW+NzMQ0ytkXva0mvEoLmL1SHWH0Uh5tvEZz2834GMl1XuJD2QTofq9odIrJ3Or/yp82q13mAZejMgGZVx/XYxxbAW203NhmQtIbtxtoGU8F/Z6nrqwd38XOcsqs/IdqvIfT6dnf5dvR5iMXOMgW4ilp/t/18S/totUJA0pyJ89kCXAvZ/puivW8y5FSOJP5i7ec1zjFEgvr0Kf7j5vtYhdC9+xDwqO1NGvK0moRqG5JuJQIid6XtjxDB5SbyAdvZ/rU6DYYmwZmVmGkfswFfJGQadlamTEMtgDojse79a9peHLjXoQ2Vc7zV/VH9nINoOd4shzdxP0CIhncnMhrd04NdwzXeRteypBkcroXFq7YkTbC9+nA/mxr0tZg1va1V980hHGxQBZaV1HRwbdNCO0hCo6nohCtN5M9NA8erZAos9+D/FPBNwtZXwBGSDrB9XAZn8Qe07fXTz7bE00Wn4HZlN5+DuYjqg148OQJylRbKYQ3/fkrYjxCWXFTRj74e8PESxOoUXDbwd5pbaHdjPlJFnwq5A9o+q74t6RTCMTEbmtwVsAo2ZLdbdeFRoiqzKSpNnzYWwW8nnj29xBZLiCyWvq+LC713Q9GyuybhwAGwh6T1bX91iD+bWrQlItuKW1Qan/YgRJBvJ4wXrqfAeF2H7d9Iyj2/x6RzUOnSFWlFrOFCSZvlBL57ocVzLHfqdv1a0ucyOeuLKYjW9nGUEZyG8tbfrT7fBqsQyOGscc9LzAXWByzpGsL1rHGC0kkwNjcgNASqZ/17CPHfcxX6UI2Rgt6fY8BFtA08QcyFngTmb0pie0L62VpASCEBcgSwAlGNOZbMaswaPgycKeljxHW3A6F50wSVg1ybhkvHE63nVTvmo4TDYdPETttualWC63lJCxPXW6k5zT+dqT9XR/0aVjigV3I2N9nOcR6+iag0fEXS0rYfSvtYinzTpRXU6f5aQeS5Rvd3RRFEtQ4DonSXOlMsVANlnvMT1UqV4NRGRHa16j4LawAAIABJREFUhOtCcQw24XJ+69lvge1dxpa0m/sBYN1q8E+Tg+tsLzf0Xw7Juavto9Wehs5YYAE6yxtzRVP3IiwRzyGu4w8Av7T9owzOVlvPquxR13ulynTnJa5fATfY/lcuZ9uoLSBEBGqXJKoQS7gDVvsoWQF1Pz1cAXMrBbsqf8YQ4u9/tl3KQrpv0HVfQ7TwZt3XbSNNNN5s+9W0PRa4rUQ1ScqO70K0Z5YUkW2l6jXd02sSz6A3p7nG/ra3yeStzyHGAGsAb3em/kp6PnyEqA54iYGgUfbCWGH5/WvieIvoKybeoudY0uvTr18GniZaakyck5mdWXXdVY3yMuHGWKT9M90fO9EpyPqLqgIvg3dJ23+a0nsNeNusELgYuIoBQd2PARs2rXbp4v4g8D1iji/KXcvF288T776Jq1s0PFeM/NPEfTEOOBM4LSfArEFa+ihY8apwhPoIERBZgwjmLJNTjdnFvyxhmPEIsIXtF6bwJ0NxjQU+73AGLA61LNOg8uYQ+xJBvo2Jak8Dx9juaRAwTO6NCd3GSylodiJpa0IM+griOn4boZ12ZkO+qlr0HYSzetUKvQTwCdu9JFOmlrtnpWSFnHlAXweKJJ1oe/spvdeQ+zxg5yoLoWgl+UluoEjSukzeR5llXZd425rUnk4s2i+mc5AqIQB8KbC57ZfS9kzABSUmA21A0u5ElusfDJQ3lhoAVyOyGFDG9axVIeUeZbrbEqKpJRw+VmHye6SEheY0aSVJ+1kN2NX2rhkcvSqg9umuNGrIXdwVMPHuWNt8mQgSXVuAd1milXIJOq+LEvpSMxNl993c2ZUCklYnquIEXJVzX2uQ1tfqZ4msagoUbVgtQtLC+4pCz7jZgRerwFCaSM9s+/kC3G24RVXOp7cDa9n+rwo4L6lTc+Rl4M/EhDknU9m9j1WJBdXWwN9tr5fJ9zAR6LwrN3DRxVv0HCuEm6t7ohvZFZO1QFRP5Cze0+LhhhL3QxfvZEkjZbYiJI6qVe4Gwrb+SeBul2nDm+z4qoVxAe4HCeeiIg6UNd7i7eeJty0x8u8SgeTbc3hqfK0tVGv7qIIjk1phJV3nDM3UHgGu+YFnSAGHnLFP0uW2N2r691PgbkWmQdF6/n0Km0N07WNmYBYXKkCQ9GvCbv4eOtdmuTpedwCbVmOzQt7mkqbBOHWaTsxKqogj1iMvOKMlUdIbgQW659uS3kZIVjzUlLvfW886Ltw08cwa/GpYogoSJfwDWDaHUNKJwNJExU+VRTWQHSgiJuAvSkLSzA5NpMaVOTWcn17FoIG2sMeAGyWdS5yHD1CudHkcISS7BJ2Lv5wHxx5ED3ARfaYuvEKcA1Prsc1AdrB0CihZpjsJko4DVqHrgU9+G9A0ayWB0B1TWGvmcLRZtny5pEMp6AqY/r5oe2oNZxDOjr8gv0S3G+cSE8MJ1M5FIdxOiCDOACBpsYzM3KXAgsR3dmpuhm8QHAzcpjADEKFVtE8h7kuJbPt/0vasRFVRljGCam5RxPj6BuJayXKLAh6VNDeRYb5Y0lPA45mc2P5ELsdQSJUp8xOVr7MD2S4twB+JIEDpzGLRc2x7SQBJs7jLGlnSLL3/ali4FViUEDUVYYFe3Ycmr8T/48DPJD1JtFFeDVxj+6kmZClZuBIwV1cV25zUEiUZOC99d4cS58XAMQV4IcanjzDQcvVhys1D/1E6SARg+3lJDwHvlPROIuGX3apZXdOlYfurklbVQEtmlitnPRCk9rRHn08J5dslHUKMrbNP4W+mhDZbrq6TdCSTV4Nl69LSnkzDgcTcuMMcIocwBRGfs/0vRfvg+sCDxHO/BFZ1O6L/Y7oSOE8SVbVNMRaYg85ExhzpZ+58/0eEoHc3Xkif9WpBnir0ZUWRpH2IEzIr8DwDJ/0lwlUme2Kbbu5liPJtE9m5B23vnsF5H7BiC5MtJJ0DfALYk1j4PgXMaPvdBbhnJQTTHsjlSnxDObS4UCb/OmKi1d1a07gaIy2eNnVhpyG14Ho2LaCCZbo1zix1/ilwt1J1l7jrmlhjiD7ked3ADUeDiN5XKDHJUGFXwB5ZuUkfUaDqrkQGfAjuu50p1DgIb70CsdInyjoXkuYisvcfIRZ7pxFBo6w2hK59LERnT36RSX6vSpFCFTqtu0UpxC3nIlyNXmrI0VOQvYIzq3RT5nBbovLnbqLt6qwSWVuFE85SwIV0BpazRVlr+8g+xzWuXlU02e3YCl2e39q+IG1vDmxi+4s5vF37WJgIjHwJWNh2o4SupA8Q18L7gbp+x0TimXFd7rHW9lW6QmAiEQCokkVjGFhoZ1VPSjqcCLj/hrJtKtU8ruIpMo/T5FbaVwBHO8NKO/F+ngiwlz7ebu3RtxP6Uo21R2vcixPj6UxE6/xcwE9tP1iAe23gnqoSVdLriPXajRmcrbovqwWZBhU2h1C0nH2cGPtOJZJFVwBrAXfY3rPAMR8D/NCFtflSMnUVBkwRtiEMOBppm5YYg4bgHnQemzsf6stAUQVJB5cICg3BvyUDD+erbJ8z1L+fCr4ziJ7Vv03xH+ftp+SE632EcPFMtpdU2JYe4DJWl1vZPmNK7zXkzl6A1LiqIMBKhBvA+RScLKsF17O20GaZbuI/Fvh+6Qd+4m6llSRx14OfVTvJWd1Z7ankGqpPudgkoyTUUtm5Blo9Pk+UQZ9D572XHSCR9HPgCKc2ylJQtDis1UYFYqoa2Ybo+f9O4QX7B0kiskRFQ9a4V+O9lnCeujVtrw4c6XxtntJuUWsC89m+sOv99wOPuUubbRi8Ow71eU41nqRHiMqWU4HTnWFzPQh/K5p/ibtquzbRRtE4EJ4qGd5AaNt8lIEk4pyE5fPymcfaZkvUdoQGxpuAfwHXEFUe12fyrpPLMQjvLITg9qRnBSHiPOwxb1pC7dnNtzKPUwtW2i0fb3Ht0S7+mYg2IxM6kFlrnBrvbcBqVSI/jbG3tLWwb4q2E4mSLiECzAcTJi1PAGu6YXufpHsJrcrZiDFqQUf13QzA7SWSdKkIY2ngT8T8sKQuVjUfquQDGs+H1KIkiKQHPYh+6VCfTQ36vfXsQkkbdL/pfGvVMUTUcGUGhEhLYD7gXkk30bnYybUUrx9vadeBbxHZ2isS9+2SSpXC7kO0lEzpvSY4T9K7q8xfJqqSwL+m10zpBUNkiIeBNlzP2kLbzggnANdL+juFH/i01EoCZRZMNa5WetrrSJUp+zEQCL+SCAA3zQjPyBD90Y0PNCoC65oje9c+y2r1qAU9ZwA+odBhKXnNPUIEUYtBoXG3LbGgvAbY0vbVBfl/CryRgQzarpI2sf3ZAvR7AmdIqq6HhYhgVy6uVFm3qEPpXcJ/L/Bzmreqnga8znZHK5hCNDTX/nv9KhgraZykcd37yUHJ51sdkr4JbMVAVcPxks6wfVBDyncS390ihM5G9dx4lt5l+cPFvyR9gwhEGdiOaEcogR8BDxFtk5fb/nMh3kcUFefrMRDQ2cP2o5m8vyKqk6oKlG0JV9StmhKmhMPT1TikaHvZgki8/KREUMDttX62NY9b052aKJelao9ctHW8jxLXRYWJxFiYDUnvIe6Ph4hjXVJhYHPh0H85dfRVkAgmOc5lrZFbmGfBgHv2LISg9x3EuVgFuJEBrdOm+ADRrvQFBswhcro8Xkz37UuSHnLSYHPYxBcJ8hHaYG3hWsLAweRLo+S2ww+FmyXtbLuj/VfSTsQ8ujH6PVBUXzTMQgQ0JpCpOZIeEHcoT0+iF75VkGsSWjxegJdtPyN1jB+5LhybA+8G3iDpx7WP5iTT1lidAsBfk/RfMl1aqknyYBVQOcebcDyh1VR3Rzq2AG8beMr2s5qCqGcGjiMyZndRRqtpEmxvmX79VqramYtMe26FK+BQ+xx2EDhllrvtnVFosTxn++ThcvbAcUR7ytZpe3viOmwq1t9Kf7Tb1RxpJehZq0B8GLhCUpEKREl/ZsDJaRfSs7LKMOZmEhPeDqxcy6qeQNyL2bB9s6LdcznieXy/M9snEr5KuEXdBewKXEBoWTXFvL0W6bYfTNnxpvgx8bzpbnHZlJjcf7opse2/pKqf3YlzO0bSy0SlXIlW7nGEk9hKdBoB5FY3bku0N7yY9vNdQu+maaBoRdsbSdradhuW4tsSC79ziHnGVWTqd1SwPZ+klYhF5bclLUNUTOTqDR4PnMxAAGe79N6mmbzLdQUwLi8QwDidaIF6RlG9fgZR2fBm4KdAVhUNgKRFiOBW6cDZcbQzj2vDShvam3f21B6txsXM6tfvAxs5tZopBJzPJ1pic/Gwoh3vqLT9GQZcqZqi9DxrUiJR0qnALh4wlFmZaFfNQlVhBrya5i5P1gNoDTB3qsoRMKcG9NJEzMGzUUuSdDi15UKTu54dIamx61mJCvghsCdwjkI3tgoMrUEUNWw56F9NBfq69awbkhYFDrGdPXBLuozQabiJThGy7JarNtDW8SpagS4lJuMfIlpAZrS9WwbnqsTAfwDRy1xhIpFJayTe2DbUku5B4qnK77PdkdqEpPNsv1e93WXsfCeOywosPobiX59wRzo+LX7mcIZNsKR/EtmyU4hsTmdEtUF1XyqB3sBdrk2S5iTuj2ytHhXWi1GL/dGJo817r6h7pobWYGtcnSHpCgaC9L3uvRIOcGcDX6hNvBYHvltoTG1Fa6M02irh1hD6a5LucYarjKQvEMmXXarnWVpQHkW0oGdZNEsaT1REfQnYDdgR+KcbajXUeC8EtrX9dNqeG/i17UZB3FQluBqhVzWiWkamhPR8X48I1r6NqEC/0fYOmbyTWWbnPOtrHL8k2vluSNtrEU6on8ngrLtZHQa8avvLiqr520tUFku6mAicVYmY7YCP2W4cOEvHtzbwIoXncQrr7+OJoIUIF6osK+0ad/F5Z1vjX+K+yvYGtW0BV9bfy+CenwjmV+PoJYSTb2M3ytLzrDa5FRpN3wX+TQhan0g8g8YAO9hulFRV71bPSShR4aeWnNpU2PVsWkBRhVnNxe+xfVk25/+zQJGIFqxsEUuFzs9kaLjwu8b2+hrE3rhJlUuN+42Eu0l3ddjbCT2FrAyBwvLz64SjlYCLgAO7s/sNuWckjruYUHaNez1iYvFcqtBYDfhRk4qrWgXU1sRkucKcRAYzy46ytp83EKr4EHaGRUWz+wGK1pe5idaRYkKTiXs/IsK+nO1lFaKhZzjDOlrhtLgpkVVehchunWL7ngzOSZPl4Xw2zH1cD+xt+5q0vR5wmBvqxbS4uG5VcyTtoyPglL7TuwZb1DfcxzxES8WIHnAlXclAwoH0+/WEaURW4kGFtTY0uIA60FwvTSFY/CTwjfr3JWl/YCHbuzTkvc/2CsP9bCq5byMmtP/qen8cMN6ZughK2jxdC/krbfecJw2D9zfENXYx8V1uSlR4PAHDF/hWiI/uQggh141OEl3zuVbivxjYqhbYmocQhh62aUEP7juJ//s1xKI9t8Kl4r0E+CUD7aTbEoGGrDYIhS7Icgy4vi0G3EdUArvJ/VdPKki6FdjH9kVpu9TY15ao/vVNx8+p4J6ZzkrMxu6cmkI1uAtVPaTAp7sTXpmcRxFBgNOJ58VWwANEe1CReWJJlJ5ndXGfQhQF1Ntg52ia1JF0C1EVPhfRYr257RsUVcCn5I4hbSIFdN5Bl1Nb07G6xtuR5EwB4TtKxBj6CX3deqZOF5ExRJVKid7dojo/ttdPP9uwu/4R8DXbd9bflPQcUSKdFShy9JN+Pb1K410koWxgSRUUyiYyqasqqpe+TJyHE4kA2nDxOHAL4R5S7/WcSPTxNoLCvW9GD7QGXEdomsxELKYObspd28eyRIvm4tTu96bVB2rfkWtWIkC0WZ2Wyds1mmBL4C1EawO2H1c4WzSG7VeIdpLfp8nctkS70QFu7h4yo6TZPVACDEA61pkG+ZvhYjfgV4oeegiXxCHFdqeAtvqj65oj9ZL1iWRqjqjmninpWQYWlS8RE6WmvN8kBIXvT9fEhcTY9LKkj9q+JOe4W8Y3p/xPGqO01sYHiSRJt/7F4uTpYn2RaF17UCF8D7AqMQbktL48Iemttjt0DhTi2bl6QjN2B4kAbP8zJWRyUVV9/U2hE/I4cU/m4hw6dSCvyCGzvTewt6RzbX8gh2sQzFcFidL+nkqVCCVwkLva5VTG3OOTwJFAVVV2bXovF23oglwm6XTC9nwewjkLhRNjKT2Tf6XkYT1wVkJnarykDwFnl0wIKOQNfm/7ToU+1n6SDsqYa3Xr/lXHKjJ1/9LxrkFUQL0ubT8DfNINTQC6MAvhelbN4/8JvJ5obc+aJ6qdlsRPAyekeZaIap2PZ/DV8YnEv0favoqBtrkmmMH2eIA0f70BIM1jsg50GuB/tp+UNEbSGNuXS/peAd7fS7qITtezErq3fYW+rihSp4vIy8Cf3SWmmsG9NvHQWIFYnI0l9EGyMlKJu6OPskmVS42r7ZaPNYjF1BJ0BhpKZHYqPakrPGBrXCprdKvt1dKi7THbx3ZXDjTgnJF42C+b3nrAGW0TKWP2Ng+4TlSuPWOJctpcUboq0v4zYnIwqa+96aCtTkeu1ekMArhpAGpaQMnis3ZtlHL5mBl4DzHhXIKwIj7O9mMN+b5EiN592kkrRdISwE+Ie+XQzOMdS7QT7Z2yftjOEtOVtACx4HuJHv3RzrRYl/Qh22flcAzBXdQ9U9I9JJ0fSbsQlVAbE8+NE0pVILYJhRbPBsBfC03wq+fdVu7U2jiz6TNZ0nn0TpKsAexnu5EuVo1nKUKTB6KEO0uvQtJbiUz4L+m8R3YAPuI8G+ZBx7bccS9xvBe4GliUmBfNCexve0iNtqnkbsvFaAGiWgmihStb3DvNWbas5myK1sxzcs9v4mqtvbYtqKBjXeITsRhbiAi2P5befwswf1VdlLmPxYjA2TrEcV9HBAQaOXPWeCcSlWwvEy1o2R0DifdO26so2uYPJpKrX7O9Vg5vW0iVcZ91MllIx/3TEvP6NqEWWhJr3EXmWW2i/qzpfu70wXOoqFNbF3cx17N+RV9XFNk+oXuSUZD+SOAjhJheNZlbJodQg/RRMjAZbYKhhLtmzeCtcBJRkVJcXJjeQtmlMDFVDGwHbJAWx7mZ1XUJp48/Ew+NRSXt6AyXva6qkcPTe69IKvHdQZzjnCxDB1xz5EqBraIOXWlxdjjR72+i7WVPZ+gI1XC6pKMJcb2diazqMVP4myGhEPtdmaga2d/23bkHafswSf8h3JzmIM7Dc0RwJ/u7TNfX6un3IhMXhx33uursjz7fBfqjEy6V9APKuocAYHuf9GyepJ1j+7wMypdqGeV3EmXbrwD3KdNFpS2koMtXbd+dsve3EhU0S0v6ue0fFdjN3oTgbRVwWYLIijbFEt1BIgDbt6TAahZSYChXzLTOd1MKFn2WgazyPcBaztDBSFg1VcV1QxQQ96zdD88AxZ75kt4NHE1hF6NUhXEYhURIa/g6cI2iRRPimZHb3tCauUfib0W8WeUd60jPzVN7vF9EszHNA7/jFrRG3U7HAAwk+N4DHGX7XEnfakqWzsGstv+TttdmoFL5Nue3ik10zYnT9jUpiJaNlueH42zX9XR+KWnPHEJJexDVVROBY1Jg9atV5U4m9zJEYGRFOgsPmlaEVWOIGKiyhswxRKkqUtKShb6nXijt1DYJjnbGsyXNRzmHy/6C7b59EYPrI8Rk4EqiV3rzQty3pJ931t67LpPzDmBe4mEMMeH6eSbnKcDOPd7fCTitwHm4psXv71gi234nEYQ7gtAdKcG9ILAXUbED0T+/QybnBELfptpeFpiQwfcHomWg+/2ZgT8WOg/fItwbFiJKdF8PvL4Q960tXBM3ENolM6TXdkQ2uBT/poSLwWGEpkcu36vEJGAiYcFcvSYCzxbgn4Ow1C59nr9PVD5tT7TwfBD4YOn9FDzes4D9ibL4pYi22rMLcR9MCPZ/Mr0uBg7O4LuBCJaNI0rNl6x9dn/Bc7I5MeEn97sjKmaq378G/Cr9/rr6GNiQe01gwfT7zIQhwm+J9r7GzyLgwSafjb6GdY5XAt5f2/4h4eRzHLBaAf77gTfWtpcucY8Qc635a9vjCG2JEudkPsIx8X1EK1ou36pE2+9f0s/q9UFgngL8FxMB2WpM/ThwcQHe+4BZatuzEgKy0/26ncJxXwTM1ALvlsBcte25gS0K8J7HQDB17vQMbXwtE3OfL9e2/0RoQl4MfK/A8f4wHe+GRIvYT4FvEzqhWc8MWpwfEuLV2xHdI2PT75dmct6Rfr4zjXmrUmjeTAR8NybWT4sTc/39S3CXfFX/31L/72l0zGsTcYWzCbmKu4G/EwUe75rexzetX/3eenY/8F53WSW6jMDpVcAmRDDjb+n1cWeonUu6xfYaqR3oLQ5b+5uc0YowDVo+NiZaai6lvLhwXSgbYDxRJdBYqK9N9GqLy2mVk/QdIqD1OYcWFKkd6kjg7y7QDqNwJ+uGnelOlriLl6NKutFdJdWSbrC9duH9zEe+7WffQr2dKGy7hHZFcahd95A7gTfbfjVtjyWC+U3v67UIjbFxhID+gen9dwPbu4CDWOL7CdH+eSuwds69WD+Xki4FjrF9avdnDblvBTax/W9JGxAVA7sTuk0r2P5wQ95TgMvcWxdrM9vbND3mUQQk/Y4Iml6Xtu8F9gVmAz5ke4tM/lZcjNSiCKlCwHoZOrP4jauKa7xFW9trvG2JNxd1rJtWSFXFqxEL97pDcI5t+2Dn+TbnC8nPRuhB3WX7j6ni801uWJWiEL5f08ksRQOSBwKudqbkgTrlCbphZ8gTtDk/bKMlsdY2eDhRqXxOiWsicVcGA3UB+Kttvy2XuyRSS98MxHh/dffnzjPI2IlINh2ath8jklsigqGNKvDVx8LebWBElsEPA09UQaKEh0luGQWwPSGQ/VminG0Rwh4+B0+nVpKrgJMkPUFmabHbb/n4BNHaNyMDrWelxIW3td0hlC3pu8BXmxKqRYc54BZJlSg2RIljjn7HvkSm5a+SqsFoMSI4uW8G7yTYXrIETwV1Csgv0lUqj4fpUtMDl0v6KrGYNKFXcL6SU4cbOHJoCNtPSY1tP/scv3CXnpvCkaMRJM3ccoD3BUnru9M95IWC/HMT1wfE5KAxHFozkyUrbF9AhhBiCkA97KS1Yvuzqf1jD2KcysEjknYHHiUWUb9P+5yV/JbdsbX7dhuiivYs4CwNiEU3wZ7AOZLqz+FJSZIM3g5IWsH2fen3tZ1EPl8jWKgKEiU8m747JO1agP8eSRfQ6WJ0s0IXIich1YoIqaRPEffbIsDtROb5egYstXNQvLU9oS3x5v8S31+HY101J8iZCyg0sS6ogveF8Xh6jSEJLjOEe+IwMKbHeyXWWAsRc/r/StqQcFf9VQbfGHc66n4FYnKc1idZcGE5gi4Unx9WcOiOlW5JnCBpPLAksI/CkKTUNf1iCoD/UdLngMeAUsL6JfEeYk5xIlHJXhK70Smq/4TtN0iahSg8aCrV0M/C3sXR7xVFxa0SJX0AWMT2T9L2jcTNZyJC2bjHPVWLvEAMKFUf5Um2R2zfY3dmrjD3hUQG6qS0/ROilHmnDM7FczIAU+CemViQTRI2I0T6shbIaTFW2Yc/aLvYAjhlKT9NTX8FOLppplKdAvKTwfYJQ30+FfxD9TA3qoTqt+yApkFPd69qsJwKMQ0IhJ9oe/syR9nB/2aiSqfDPcR2tsulpG2JQOLliXsDwpZ5Mq2M6QlFJepatl9M2z8gdH52JQR1G2eCFQYLBxCLkp/UJkkbAavbPiyD+26iYutlRRXwLtXiV0OYMQyDv54kuadgkqTiP5+47n4LfMr2slP4k8F4TrS9vaQ9bB9e8hjbgqQHbC83yGd/aHouahy9Khsr2BkVjmpBhFTSXUQr5Q2235zGkP1LVK8phLI/avuBtL0sMT6tnsnblnhza3MBSb8mjvcs4PgqUFsC6uEk1+u9BrzHAU8TphMmqibnsf3xTN7biQD4EkTb3G8JCYR3N+S7D3iru7SIFM5cNzqzIyMlLyaDB9x9c7jbmB/Wk5+9SHMCnpUb98O2n04BrUXcQ1uvAfeaRPvn3EQCdE7g0JGayJA0zgUMBbo4J9Sfj5K+Zvs76febba85+F8Pydu3wt5toN8DRcUnGZKuJRxIHknbtxPZojmIAWvjhsc6FrjI9iZN/n56QdIxwA9t39sC96wkhyhCb+PftnPF4+o3+Fm2c6vA+hqSfkFUBFSTtu2BV2zn2Dz3FdTZVnOf7RVqnxUpAy6JWtCljda+dYjM9Z4M2CVDTDK2dMPW2hQMOJSwV9+7+/OMyoDu/bTiHqIo51+TWFTe6MyW3TYg6R7bKykEsX8JPA/s5mhhHrGTF0lfJ/QE/0VUTK6WstdvJFzgGleytQGFEPa/69eYpM8T1/dH3dB9T9G2tTkx5m0IdKQmc7LhbUHRRvJVdzmyVVWatjdsYZ9r2r65ENd8wNso5N5XLT7SvHCtVOVRrAXWBVvbpzUkLUrMnbNcOWt8cxLVT58gFvLHE4GzLGHk0kmSGsfsRCX4JsS9PR44yJ2GJU14q/nAl4EXbB+RM2+RtFc6xt3c6d53FKHJk1X1IemLtc1ZCD2v+3KCvlPY34xNE5/p7+sBz/0J/cNJyAx4rgfcbvu5VNW3GnB4gSDtJOfaHJ5pAUX78lCBuJzWswdtv7HH+2OIpHsjiQ1JrxBtqSK0156vPiKKGXKrrPsKfd16ZjvHMWUwzFQFiRKuSRO4f6eBoBEcTkPPS5rLBZx6piHWB3ZMkfz/wqQWrsaTlxRVr/Ap4DdEFdgBkl6fOWGuT76zdXhgUhZxqAfdSJ7Irdm1+L8sVSaMKEh6h+3LUhZ4MmQGGuqlvt3VWiMxUv5kWqAtKWky++mcgZVoy5mDePbXXVqeBRppxSTsRlRJzk2Hwz5jAAAgAElEQVSIvNbRuFU1TWp7vR/EGboSCgeSOioXoIUlLeyGVs8tVoRdo9APWpD47jZOQaK3U7YNryhsfzsd90LAeA9kp8YQWfeRhrOotRKlINE2RGb4J+nzJvgZ0dK3FNEqVx+rTKHxqjC+Apwm6ZeEFhaELtaOxDkpAkkrEi6z2xLOams05BnMvW8pScc4373vUYUWz2+AiyU9RbQxlUDp1nYgMvnAzkRFyqQ5f4mFewrEbUV8b28g9DKLwPazks4iFmp7Eu2ke0v6se0jGhxrq+5yKSDUWDZhCPxPUfW6AwNja+OFqu0fSHqeGE9mp7yrakegSdJhRHC8GBQTgI0IM5z3AQs05aoHgiTtmRMY6oGjCDexVYEvE7ISvyJEvhtB0gyO6tzVJak2no5UNK5GngqMl3SQ7W90vX8AEahtBNtj8w7r/xf6vaJoSWKiuQSdA2DxCGX67CHbSzfgXNvR6nI60dN+MZ0ierm6Lq0hZRomQ05EPAWdTAo60TVhbhoFTtyDlgxmcPY8BxVyswNtQiEku5Xth9L2UsCZI636QNL+tvcbpEqwUXVgjbuvsgOSZmKgp3uyyi/bV072R8Pfx+JtXLeSdrJ9bEG+/Yb63Pb+GdytiG62XBG2PmFc8A/gTEJrC0JYuFFgaxSdqFdxKAwH3kKc3+fVVerekP8o258ucazTAoq2xM8RDmgA9xDtif/I5F2cCDBsSyzUFwfWsP3nDM57bK+Ufv8asLztHRTaINeWTOqkAO1cwIU5FQ01vrZa268jRGQnMGC1TkZl3OuIoM1HCeHtc4BtbC+Sc5xd+3gf4UC5NDEOnmD7CYWw8322h5yTDcK5KhHsPYCofK0wEbjc9lOZxzyOCAasRKfQeZZ+VQqi7gZcb/uUtO7ZxvZ3c3gT9xzEOrCIff0g+5gHuMn2MgW41iKuuy0JB9/PAr/N/e5q/EXH7Npc4JvAY7aPzd1HjfP7hKj+GXSuJ4tUb7eBNLctJtafAp2/IKrBqwT4qkRy4FO2/5PDP4pAvweK7iAitHdRqxrIWUhJOolQp+92UtkV2NANHGtqN3bPnu7CEexWkCaL9cHvr9PxcAbFFIICdgMxa0WLxAKeXPz3bcDjVRAm45h7DRrPAH9xp+hgE+6NiZLth4lzsDjwCdtDLZJHMQKgFnq6a9wXEwHEyrFmHuBU2+9syNezEqzCSJ68lIZadPnosa9i10gqZ/+87R9O8R//P4akcwitkUWIgO1Ktv8uaQVCU69RoKirknYyZFbS9hVS8GIuQpT2VIeb05+cab6gFt37BtnfZsDetjctxDcTsByRQGvN9SyT7wXgJuAbRMW9JT2ck+DrsY9fEYYLkwl5S9rY9qUZ3HMCz9l+JW2PBWZ2cp7N4B0PnAZ8iQjs7Aj80/ZXcngT96zAYk76VSMZ6qzAH0u4fx5g+8gMzm8DWwN/JUTZzwFuyX1e9NhP6UDRlUQV6SeJFth/Eq1ojXVfa+vJelJ1UuK9RKVgG1AIsZ9ATawf2LHXPd6AeykGEhn35q7JRtGJvm49A160/eMp/7Nh4QvAbyR9lM5S65mBLCvYfggIdUPS+wml+oUJR7nFCQG1lYb6u6nk3gr4ve2Jkr5BTMoPtH1bU86WSgZ/RIghd+OF9Fl3q81w8VPi/34n8QBdOf0+r6Td3NAGFcD2pZKWISafAu7PzVDWkarkTgXOB052piaUWhRC7Beo1tOtHg4LhQIN81VBosT5VAoGN8VQ90BO69khhBDkz7re/wKwYM4kXKEZINsndr2/M7GQOLkhdZsuHx0oGUh0tEd/gE7tqtcitiEWJS8RAfZLFA6lyxOLv6aYwMACqvvGHqmtZ23hn0QgbgFiIflHyrQBt+LeJ+kdROvgwkTb2XeIFhIRzqXZ6LWQUhnXs/MkvdvhulgCXyPaBI8CTpZ0WiHeSbC9Q/W7or3tSaesdk6QKGE8odFTVRvMmt5bN5N33lQxskdKVl+ZAgVZSNVVhxFt40sqjB0OKJlwKIz31n5/GfhHbsIT2IUwKjoKOM/2i5KKVDmo0yF5NkmVNl0Jp+RtiAqoT6Zkw2KE1l0O5le05N9Nj46MTO428X1gM3eJ9RPr6yzYfpgYq0fRAvq9ouijROndeEI/B4ASJfhpYjCp1NoZTiqSnibKiHtiBD/wq6qtdwCX2H6LwmFmW9u7FOC+0/YqqZ3iYGIw/JrttXK5S0JDOPOogCucpFOJANk9aXtFQhD4QODs0lnQklA4L+xAtA8cbfvrmXzTVAhxJCK1NAyKnIrJ2j4mEOLVdTHLc0pm00pAIQC8srtskhVihXcOdl9OJfdtwAbdZfcp43x508qRGk9rFWFtIWVu5yIy4/Vy9tdsW5vCavdNwB/rwdVR5EHhsvQhYux4I6Fv9k7bN2VwtuLel54VXwCuJwTJfwXs64LudSrselZbAAuYnZgjVwv23AVwlcXflggaLUOIAJ9j+w8ZnGsTDpT/JuY/JxLttWOAHWz/PueY0z4mq7AqUXUl6Qbba0u6CPgxoV11phvIVXTxTiDm4Fc4CVjnzDvVkoaeoi3wf1UVnKTlCE2oPzvTcTBVfW1GXG/vIBxKNwEWLRCEahVpbrWM7UvSORrbPecYJt/fiIBZL592j9SkqvpcrP+1jH4PFB1MuDg9xEDrmZ3ZE1wakv5ID62RCiUWfm1B0i2210gBo7c4xFNvsv3WAty3peDTwcBdtk/WyHShGkq3atDPhsE/6MSljXL5HEg6kCgJ/0vanhe4gMgI/932lwrvb2aiB71RS1S/Q4V7umu87wJ+DlTPng0I2/KLMnnnIhYMG6S3riSyn40E/FXTHBnOZ1PJPegkJWcCoxZdPtqGeus2jbgxtd+RKnWre+QK2+dNz+MZCpoGDjspwLMNsRBc1Paibe2rCbpbUtRQr3IK++jbhZSkNxHf3TY550XSLUTF0lzE+LS5Q99zeSJolj03VDgb714FvyWtDhxpe51M3vcSrcaLAkcQItnfsv27TN4bba9Vnxtnjk+taOhJugrYydFG+kaiPfEkYEXgZttFhL5T4P69xPW2PuHU9tES3KWRqpN3AV5ve+lU3f8zN3TPTpwj1uF0KEg6jpgX1cX6Z3A7plSjKIh+bz3bEljK9kvT+0CmgIkjORg0BTytELy7CjgpleCXiuA/JuloIjPwvRQUGFOIuyRulrSzJ9et2okCriTAA5KOIlq4ICbMf0jno0hgoCA+YHtfAIWN9O+A/W2fKamIpXEXZuO11ZIxCS22ImD79wptrLUT9xds/yuXFziOKIneOm1vT2hkDalhNASel7SM7T/W30wTrlynrxklze4u+2KFWOtMGbxtunygFjXNbG+U8/ejmDIkfZcQ3zwpvbWHpPVs7zMdD2tQOFoSW3XYsf0Esbg+QlMwj5hOmFudOmyqb7uMBltR17N0Hp+ugvSpqmoLYjz5Scl5s+27CK3QXi36w8EMtSqwA2zfkPjvV4827IbYEzhDUuVWtxAFHPxqwd5nCEcuJO2ZywvcreieGJvGvc8D12XwteWqOk9tnN6RCOztnpJdEyjkCGf7RcLI4cxU/btlCd6W8FngrcCNACmIltPiD70rifoBnybOx+dhQKy/FLlCrP5tafNq2yPO3blf0e8VRacRmYEnpvexDAVJZ9tuulCarlCoyr9ABHA+RmR6TrL9ZAHu2YB3EdVEf1TY2b7JGZo8bUDSAoR43ksMTNzWIBaTW9r+eyb/rMBnGHA7uYZ4gL4IzOZM5X5JbyC0perOgI2CDZLuIUrvFyOE5D/tsLUXcHdOhUfib0MIsd6DPhlyS/DbQulWhC5uEffzUrYPUPTOL5jT9pF4i5b1KyyNjwAOovPe2wfY0xm6G5K+BGxMXMN/Tu8tQVigX2E7V0uglYowSTcwiKYZkKVplp513wEWtr25og12HRd0snutQ9KdwJud2ilTxc5tI7lyRH3osFMS6u3GWcEuYzVf1PVM0o3E/ORxha7NJUSL/ypEi9CgVe7TCxrCtbZkJYWkGenUbWwlISfpr7YXy+SYDfg60XoFcBFwUAqYNOFrxVVVnW6R1wKH2v5N2r7D9qpNePsZ3dVgkmYAbs151kt6vV9DxgdTA0l7ADszoIW5JfBz20dMv6P6/4N+DxRdQQx6N9OpUTRiS/v7BRrc6WsDwuaxmKq8+sdRbSNiUQaZulXTCpK+R2TL7mXAGtdN7xGFsOIPiaDZfUT1yKXAdsCY3MlnVza5lBBixX0A8HdiglQFSl5n+5AS/KXRZitCqmB7FXiH7RUUrmfjba+ZyXs94QJ0TdpeDzgsp6xf0sqEZld1792dOO/KOdbEvRsRdJqDCCY+R7TZHFWAe0NacPlQi5pmki4kKsC+bnvVNLG9zZk6bP0ISUsDj9r+b/ouVwF+5UydohQo2rCa7Cvc0K4Y4YGiXoGSIgGS1zokfa5KhEhaqbqvC/DWF+6HAa/a/rJC3+32kXi9aWjX2llsNxYkr+1jNmAvYHHbO6cqneXcQvunpEc8wtooK6iwhp6kXxPzq8eI6qElbT8vaW7gytdooOgQwkFzB2B3IiF8rzO1PPsJCoOMRWz/JG3fSCSAAb5i+4wC+7iTSGg9l7ZnB64fic+4fkS/B4p6ir42jYiPYgCSziOEpe/sen8NYD/buU5flU5D3VFtMSK7k+2o1k9Ii+lvMXnVT3bLlaQHgFWaZiWnwC1i8HsncBvwbdtZ7UBq0UK6yu5M6b2RArXY060BnYK67kF21i+V//6KqDwUIUr68ZFeBqxor5UzRCZ7cLZSETZU1VZO9Vbiudn2ml3XxYjSSZtWkHQ7Ub22BJHF/y2xoHx3Ju+2hGDv5cQ9sgGwj5ON+yjKQYVdOdvAUFU0mbyTBI8l3UpcYxel7b7QPmoDqRNhAiGOvXKq6L6+jWdcoYqii4GtqgB1Suqc6oa6jWpJQy+dxz2IVr7jqjFf0rrA0u5yFx0mdysC3G0jBWV3IqrBRIwjv3A/L7yHiVRd9hHbj6Tt24lK7tmB452h11Tbx13AmlWVnULH6ubXYoKrDfS1RpHtK1OpfJUFv8kjvA2tj7BEd5AIwPYtqT2jBA4kNFI6HNUKcfcTjiUcVSYwUPVTCg8TtsDFA0VpsPtxepXCrUTlxVPEwDo3UFWY5VpIvyLpY8TCwcS1Vvp8l0SbPd3/Sy0vhsguMmAI0BhpcriqQjsA289O4U9GBJzZ3jkIZqyCRGkff0gtD7loU9PsOYVAfXVdrE1obrwW8artlyVtCfzI9hEK96ss2D4lVUOvSdzXX3Fm+3LbkLQI0QK6HnFtXAPsYfvRTN5DiLbSFwgr+1WJltJf5x3xJBxKZPN/DhxdiLNNlNQfuSwFyv4GzANcBqBo8W+sT6TQtzHwb9sfLnGg0xhL294mBWyx/UJKejWCBm9tr6qicjFfvYrR9lPK07lpRUMvJQm/2+P968jTVIKo+j0DOItom+sXzEoEzY6BSW3G9Uq51wJmqoJECdc4pEueTJU/JXA8cKOkyl1vC2JdNYoC6OtAkaStiYnAFcRD+QhJe9s+c7oe2BBQQb2YljHLEJ+VGPwg+uSflDRG0hjbl6dWqdcanrF9YUvczwO3S7qUzvbMz7e0v1z8nnA5uwCoNGo2sf3FAtwfBQ5PLwPXpvdGJFIV2A/SqzR+TOhuza+wRP8w8I2mZGkhuUTVckZoH8yR5t8n234w83j7EUXFaWv4OFHCvidM0jT7EhEkyhWj3ouonFk6ZQLHAVtlcvYr/pcWkzsCVQVt40BftUiw/R/bf1MYQ8wELCvpuZLVbC3geOBkBq6F7dJ7m2bybpbaobYEHk38lwONAkXqcuUkEiVvJcaVmTOPtS3Mnf7/Y4A51SmanaMDtScRRF4IWN8DOjwLEpo3TfHx9HMkJ1mGwkup+qUKhi9NRiLN9utKHdggeFXSYk6SDIr2/MYVKfWOC7XkqtoC2hLgbhuXEmY9VSJqVmA8sO50O6Jpj3nqG7Y/V9scRwHY/kFKvlT6bp+wnZ3UGUWg31vP7gA2raqIUlb8kpHaC6vCejFtQtIpwGXu7fS1me1slwhJlxCR34OB+Yj2szVtj8iHaIp+v2D71dRGsjxwYe7gqnDBGUsIsdWDObfm8CbuHXu9b/uEXO42IGlCd2uOpFtsrzG9jmlaY1r0dCfe5YkSYBEWs/dlcJ1CiNyfl7YfILL4swHL2/5YgUPuK6iwOO20QDrmVxgQen2A0B4bscfcFhTaT7sRbSmnSFqSsP+eLGs+lXyHAU84aaJJepjQ25qVEDj9SqFDL46h2h0zee+xvZKkY4CzHG6MjVtg1anLswRdrpzO1GCr7efTRELjMUl72v5RBlfrQtltoK35UNuQtCmRFFmRWLSvR7RHXzE9j2swSHoXMZZWAZ4NgF2qNsIM3g1pQUOvDaglAe620dZzs58g6SRCg697LbkrodVXpItE0vrAMraPT7GAOfqpTXEko98DRZN6sNP2GOCOkdqXqBb1YkpDLTt9pX205qjWBhSaI28jIuQ3ALcAz+cuglOmpBu2/Y4c3hr/rMBi9TaYkQpJFwFXExllE5nrDZr243dxjyOcEZags6JvRE3E2+zpVksaUJrcoaaucXO17bcN/tdTxd9ai4qkrYDf254o6RvEhPSgEoHaNqB2Nc0m00jp9d4oho/Utramkzi/BpxwRNj5rj99j3BwpKTOL4FT0lvbElnbLH2JlCTZgriv30q0Gp/nhrpxatmVs7afvQnH1v8CY0uMT/2GtuZDNf4FiWvChN5IsfZMRXvt2kSA5Abb/yrF3QYkzcfA8V5f4njVnobeVt3JrF7vNeQuKsDdNtJcbvdqLiFpdeBIZ5h79BtSm+RviGdlNadanajw3ML2PwrsYz9ifbqc7WUlLQycYXu9XO5R9HnrGfD7tLCsJi/bAI3tkqcBWtOLKY10866rTqev813Q6ctJoZ4orT0feNIjO3Iph4vDTsARtg9RGc2K3HaRQaFwKTuMCPAtqbDJPSC3ik1SL12iZ4BbbJ+bQb0tsB8RpDRRhVFKt+pcIgh1CSO7bL7Nnu4JxHmtNBmq+03kaUB1t6rWF5DzNuSso2iLShf2dQhlrk8Isx8GHAU0Xay2XRFWXNMsLcreAMwq6S0MXB9zElVhrzkoBDK7x6NniAXxQQ0SGmPc6eD4FYiMgEJMfSTjk8CRhOMlRNtudoDd9ldTpfWz/9femYfJVVXr+/2CzBBAQVG5CIKIyCiDkKCA0xUQGUQZFBUV8eolBhUvjgzOigPidWAQARUBEQSVACJBCYQ5kCAogngF9aeAQASV6fv9sXalq5vuTlLnnBrS632efqrOOVWrdndXnTp77bW+z/bjkh4Gdq8Q8nBCi+cRolprB0mPEQsOV3YatHymr7H9p7LrGOJc+QpC/mAi0sj1EICkdwAfJ/6XLVmJo21/u0LMkcnuP5fbtUtrV78uDOxJVPe3qnVXlbSHi/V8BZrS0GvpCS1s3yKjNgFujSIn1Y9dGYXpwFmSWueNZxLz1AlD6fiZIullQCtRX+tcEtgT2IKSiLL9J0lNt4ROGAYyUaQh6/bDFP3crdL+K4Hv9XRwoyDpOOIkN2h6Mdi+lJiQ1YZCIPWzhCPSJ4hy0tWBSZLebHtGna9XI5K0HVH99Payr+PPkKQ32f6upPeNdtx2Hdo0RxKrcjNLzDmlhaIqyxGl5q0v/9cBNwNvl7ST7emdBC0VLe9t36ew6K6DFfq5vaONxnq6bdfxvx+N+ZI2sP3b8jot6+8NGerPr0LrAnYXYtXzvtEuGDuklWzZFfiG7R9LOrJCvA8C+7ZtL0sIF69I6LpUTRQ1oWn2n4T2yFoM18SaD3y45tcaFC4g3hvfL9v7EtcZDxDVNYvr/LmMpJVdtIhsXwQgaRXG1wTsOQ59lNomY5JeWu4+Ynt22+s8RNijd4Tt84l2M0oV0SFEQu4G4FMdDziuUzYvcZcmFifvBjYhvluPrxC760h6Wg2V27VeD43gMGCL1hhLBdAVQMeJIsJhdywM1FLB3QBH2G6J9GL7/lJBUTVRVKuGnkJPchfg2SMWEicDj43+rEWmEQHuprF9TbkGarVy39rvrZlNURJDdSaH2nmkLLi0kol1iWQnDGiiCPgK5eLVIfT3IwCFdftXWPwLuKa5ttxeRwiFttPPFTRN8TXi/7cKceLY2fbsckI9nWgt6UemEysj59i+WdJzqZZEa53MRst81/W+eMz2AyMm1XXEXh94WVsbxTeIfv9XAnMXN5iky1utF5JOs31A2+Grqcfp4ieSdnERyu5jrpJ00Bg93VdXCdxKTpb7U23Pajv237a/1mHoI4i/76cYXl78YUYk/jrkfEm3Ei0q7y5thP+qIS7A3ZK+RVQHfE6h0zOpQrymXT4ulfQFatQ0c2iWnSLpdbbPrmGMSwJTR5Suz5U0y/ZUSW/qIN4JwBmS3uXhwrTfKMf6FtXvenZgub2faFuqnVKdXJcr59KwIKn3I6LC41NlX13mHo0i6Xbgp0QV5ncIjZ4q1H091M5dRJK6xXzgj2M8dpFosnK7YUb7Lqpj7la3q+qfiLnOaxmecJpPVMB2jAdTgBtJ7yHkNOaV7dUk7We7LvfaJDizXMOtKukgotq1r79TB4mB1CiSNM/2xmMcG6Zb1E9Ieq/tYxe2b0lHbWJukm6x/YK2Ywu0TSYKIyfsY+3rMPZJhPPC4UTVzzSi5PhdFeP+BtjG9gNlexXgKtsbdvI/1HBNm2HPr+s9obCxXZGYXD9KabeyPblq7DpRgz3datOb0ZN1hSpp0UjamKimaZUXzwO+0LpIqoqk1RhqUVkRWNn1aKWtQOiNzLV9m8I+epNWxUcH8X5ne/0xjt1ue70Kw+2GptmuxP9wQZWL7aPriD1IKMwy3mn7qrK9DXCC7c06PSdJeheRPF2RSLg8BHzW9jdqHHrtSLqYqKxqVR+8CXij7aquZwNBqTDcn1jU+SuRJJkJHAAcUMffQV3QSpN0KFGdcaDtU+uKWzeSTiWqtX5MfE52JxZJWhWri11tLemDHhKSH6aZI+nTtvuyclLSt4mE6v8Sf4tDgNVsv7WX4xqLUnH3FBrQxdQACXDD8LlO274JN8fpBgqR+lcR74sLbV/c4yEtMQxqomi8C/Exj/Wa0SZiE/Gk0eRktQkUriQmWj4qrYyMEb8xAdkyCf4IcQIFuJC4+KxUjaHQJfgocbEswonj00RF2JG2D1vMeAP1nugGGt7TfbNr6OnuRkKuTsZqUeln1CWXjyaQ9E1Ck2gn4ERgb+Bq228f94lLIJK2JlpdViLOcQ8Sjjs3A7vaPrNC7JWI66/5C31wHzDGhKcO17NliQWMdRguzN53iclSVfUYkcA/iahAvBF4s2tw11FxbFNopX2GSOh82J0Le18EHGT7D2V7W2KS/QVC8+0NHcZdoBczGq5BL6a0Vo2J7aM6iDmQ1xhlUeRjxPtNDF3DPdxhvEY19NSmi2l7XdWki1liNyLA3RSSbgI2K9WNSFoKuMk1ieonSTcY1Naza8ZozXg7FXpsm0LSfsRq1LqS2lvPVgb60uGrYTaT9CDxpbd8uU/Z7kethu+U20fqDKro758CrKHhOkWTgaXqeI1yMfGRsmLWsfbDKHFPkvQzQv9IxAVtS7BvsZJEhVUVoo2Tyv29yn4RLYq1UKpSnsfwaom+XI1yMz3dHuP+aNv9QGMtKpJ+T/zOf+t0MjYGhwLnStqfUSrCOg2q7miaTSmT1ZtsHyXpi5TW7omG7WuATUq1pGzf33a44yRRiV2Hblc3uUfRbtfuelbHtcuPCc2n6+hzk48RbXZ7jfnAzqlbK+3pbUmiXYkE0W4O0eKDK8RtXC+mlQhSCNK6ps+Lxrg/2nbfUK7bDm9tS1qbaBnrVES9aQ29I3myLuY6FWO2aEqAuykuJNqivklca7yL0L5LaqB0CYyXtO6rboFBZVATRdOBcyS1i68tsG7v2ajG5grCYWF1hgvqzQdu6smIeojtWpIg3cJt/dE1swyxWv0UhusUPUis5FdG0hSiMmAlwt1jM+Bg2++uIfwk4G/E+NeXtH6FpMtlDImlXsZwnbFaEjkKJ5X3EoK9cwi72SvpXxHLJtiwrHIJWK/cp2xXtlevG9sHLvxRHcduRNjbzbl8jKdpVhf/LLcPKyxm7wWaEkDve9rb8FR03vqx2qULtLuembimqex6RlQ2vLqGOABoyDhkVNzHxiHUr5X2b0lvIdpzphHi0HdLmszQuWSxsX1ZqYw4xXYnWl0LpbQxnwY8tWzfQ1Ru3Vwh7KAtkixA0uqE0+d+hDvlOeM/Y1ya1tAbTRezLmoV4O4C/wO8k9CDEiGq/8yejmgJwvbKAJKOBv5CvC9EvC/S9awmBrL1rIWGW7fX0pqRJGMhaSqxWvIcIjnS0rjpeIJdLrjOsF1LYmiU+FcRSafz2lqOxtT4Woy4nyNsPm8Gnii7XUd5cVMo7K63Bmbb3lwhnn6U7QljV6oQzx2T1gp0v9F0i4qkZzP0uW7F7stKs9GQtIztyhWPkj5GiBa/nCFNjBNsf7xq7EEj2/CaR9LxhLX6YhsgjBHvLeMdd4i29yWqXyttfaIS5RHgdmBnYtFld+C7tr9ccbwXEhVKtVZal9hXAB9xuO62tGk+bXtKhZiPE5pgApYnXIgp28vZ7qvKlFJNtSfRjbABkRzax/ZaFeM2raHXiC5mib0sUU3Vcrr+JfB1231bjVha7/YnrpfvAM5256YhyShIumpkVfho+5LOGOhE0aAxRpncA4RTwPtt39H9USWLisJ16VBiBaNVJo4r2sxK+oVrEqIdJfZVtl88QpvmRtubVYz7G2DTfv6CHomka2xvLWkO8GLb/65DZyMZQtLngU8SlSkzgM2A6S5OaxXizmCoRaX9szee5fGixm4lPX/dFrtvk56SZgJvtaCHH1sAACAASURBVH1n2d4aOLHKZ1rSdGAWcIOHnAyXJSZQD1Qe9ADSphnTul0J+JHtVy30yePHbVy0uC6artCR9GvCQfP3ROtZa/Fl0ypxkycjaQuiWukG2z+vId63iPfueUQCBqinBXa0a5Q6rlsGCUn/JAS8P0pU/VjSHVUWJkvcRjX01JAu5iBRtJP2ZahF9wzgA7bHXahLOqMklv8X+AHxfbUf8J4qieVkiEFtPRtUvkRYSH6fuCDaF1gT+A0hmrljz0aWLAoP2G6iv/iGol11FsMvuOrQBvljaT+zwlZ0GnBLDXHvICyDByZRBNwlaVXCUexiSX8nPo99RYPaOd3gVbY/WPSm7iLK5S8lLJmrUGuLygj2AJ4/QEnPzwAzJH2VaEPYmSEtp05ZCziWodbEK4jE0ZUV4w4yTbXhfcz2WQrR4v8kNF++AfTjZ/3acjuVsFM/o2y/nnpaPnauIcYC1LDQchNJvm6d723fQLS+1MWfys8k6m/zuKNUN7a77FUWDB8wPkzMEb4BfF/SGQt5/KLSlIbecoQGz/rAXGC71qJDVdSwAHcD3Ar8iqi4+x2AwnEwaYb9ieuXY4lz6ayyL6mBrCjqImOUx822ve1EWy0ZRCR9lhCZ/hFtCZKqK8EKV7WR2HZlDYjS234ssZI4iVjdeW8NVVBnE9UilzD8b9HPGhALkLQDIZI9o4nS+YmKpJttv1DSCUSJ9YyaKthqbVEZEfsC4PU1CaZ2hdKKcTFwD6E98pea4i5D6P1NAbYrP/fb3qiO+INEU214repOSZ8h2oy+rz50HGxH0qVEEvjRsr00cJHtnWqIvT3wPNsnS1oDWMkduoiV8/qYuKLeoGp2JktGR2E6cRTDW4yOtP33ng6sB0h6LlEhsS9hxHEEcI7t31aMW6uraklkPUokSHYG7rQ9vUrMttizgH1b2kqlKvzlFAFu2y+v43XqoiyU7Ut8j84gKl1OdEO6iEnSJJko6iKSriTEIH9Ydu0NvK8kirIFps8pF8sjcVNtY/3MWFoQVTUgygTkv4CWLfplwDdbE5SJhKT1gLtKi9yOwKbAqR7uvtRJ3MaESEsydQ+iGmMbYFXgJ1UnUk22qAxa0rMkMN5AiGRuSqwQv9/2T2uIvQqRHJpablclkhmNiYoPAnW24Un6CXA3kbzfkvisXN3PC0Wl1Xg72/eV7dUIrbfnV4x7BJGYfL7tDUrl1lm2p1YedAM0neTTAGilSfqK7eljVW/1a8vukoCkTYik0T5VtYTqRtJc25uU+08hzmkvqin2Nba3btv+mu3/Lvdn2962jtepG4U4+B7E/+xlwClEkq8j3bFkOJI+aPvzY7VI9+s13KCRiaIuUlYGjiUuwE3YPR9KXDRuafvyHg4v6RGS1iJWrqcS74vLiaqfu8Z94vgxDyL60G+TJOAkQljwD4S+Sd/pYQBIOpFoaWslnA4AHrf9jt6NqjeUVbOtCAHnCwktiOfb3qWG2E0Kka4GPGj78XKhtHLViheNIcLtGsS3m0p6NoWkY4HDbf+zbD+HWK18ZYWYxxOry/OBq4jvptkTcQUfFvxNH7J9j6RticqG39k+t4bYtYoWdwNJBxJGDq3Fkh0II4DvVIw7B9gCuN5DGno3VU0AS3oeUfGzEbBca38N+i6NJfk0IFppkra0fd1Y1VtVq7bKa2wAfIAnmxdMuEW5QUHS9e2JoZHbFWM3KsDdDSQ9lWjZ3Sffx/Ug6TW2fzJo13CDRiaKkmQRkfQM4NPAs2zvLGkjYpX1pIpxLyZ0q9r78d9YceI3j2hJebT0or+fEBfcAjjC9ks6jHum7TcoHMRGy+BXvcCf8CKWLVoXWpIOA/5l+7i6Vq9VsxCppFYF2CO2Z1cd3xivUVuLyiixlwfWtv2bOuI1TTkXtVZYr7b914rxZgCrA/MIfaIrgXmegBcIpWLrrcT57QdEUmAmoSF0Y13tFIOGpDUZ0lG6qo52R0lX296m7Vy3InBlDd8jlxMtOl8GdiM0vGT7iIpxG0vyqSGDiDG+q1smKp90xTb0JpB0I/BNnmxe0M9W6BMaDbnKAcOc5VrVv5MrxG5UgDsZTCR9Dfi+7St6PZYlmRSz7iJlcnMQT14lqaxFk3SF7wAnE44OAL8lxD0rJYqANWy36xR9R+FCVIXH2tq1XkO0LN0L/FzhTNUp722L2QSPS1rP9u2woArv8YU8Z0nlUUn7AW8hJjsQ1VZ1ULcQaas16X6iGqVW2ltUiM/g0oRAduUWFUm7EVojywDrKuxsj+63lfwWCkHdY4jkhYDjJB1m+4fjPnEcbL+6VB6+kNBVeD+wsaT7iIl7pQn2gLEf8AJgBeD/gDVtP1zaKeZ0GlQDLFIv6ZKiA/LjUfZV4cyStF61VMG+DThhIc9ZFJa3fYkklarDIyX9ikgeLTaSJtt+kKhOmln2PZVoVb12nKcuDk0ZRFxAfId+v2zvW24fJK5pdhvlOWOi8YWFP1jlPNTGY7a/UUOcpEvYXqrB8I0IcCcDz23AF0vC/gzgdNsdf0cno5OJou7yY0Lo7edM3MnvILO67TMlfQjA9mNlFaUq90h6E3B62W5ZalbhiXLy/Dsh+veptmPLdxrU9p/L7R/KCvM2xOTnmjpWmIHDgEsl3UFMgp9DdUcnACTtBXwOeHqJXXmlq2EOJFxEPmX795LWpbp7GAC2j4Loobf90MIevwjxmtaw2ZPSolJe70+S6nLaOZJ4H88sseeUv3W/8lFg61YVUVmA+DlD2ncdUaqH5km6n6g4eIBICG9DhxPsAeVfpSXzkdLW8DAsON933KrpARQyVTgZrQCsXlpKVQ5NBp5VNb7tYyS9kkhaPB/4uO2Lq8YF/iVpEnCbpP8m2sWeXiHe94nPwnXE953ajhmo1NJWeBiYI6lurbSpHq75NFfSLNtTy3XH4vJBhpJNEJP1rSnCwlQ4D5XkG8D5kt4NnMPwv8V9ncZeEiifwf+wfVOvx9JNynfdFA0X4P6pKwpwJ4ON7WOBY0ur+L7AyeU763TgB64o+J4EmSjqLivY/p9eDyLpmIckPY1Sxl20KyqLmxKrqF8jyuQhrB2rVpl9nFjpXAo4z/bNsMAV5o6KsZH0jvIav2CoquFo29+uEresAj+PmDQIuLXGUvzPE7o8t9QUr1Fs/xqY1rb9e+CzdcSWtB1RCbcSsLakzYCDbb+7YtxlCS2sdRheNXl0lbhES5sltT57K1aM185jth+IgpoF9HPL1aQRrWb3EpVhHSNpGlFJNJVwrplFtJ99m7A6nkisWpLKAiaX+5TtVep4AQ2AaHHhYGA6kRRq17V7kHCCq4zti0tVylMgkgU1JASmEwmuacAnCCHZUXUsFnGMrym3TSb7zis/dbOSpBfbvgpA0jbEeR+gE/vyZVzcpwqXl2rle2s4L49MxB3WdqyuhNxAIWkm8Fri8zEH+Juky2y/r6cD6wElMZTJoWQYpWr0c8DnJG1BXLccQcx/koqkRlEXkfRJ4ArbP+v1WJLFR9KLCNHpjQktjzWAvft1dae0SqzsNkHaciEnV7QCL3oKU1r6BiWBdoU7dMGR9DLbv2iblA3D9o86H+2C15jlPnXTaWcs/acWVfU7ymtcRbgunuchEdl5tjeuGHcGkTwdqS3xxYpxP0BYA7+SEKl9G9GbflyVuCX2SYTj2eFEkmsasLTtd1WN3QSSvkC4nbUqEPcBbqqyCCHpS4Q20axW1eBERdLJ4x2vWj2nAREtbkfSIXV81kaJezBwNCEK/QRDVZ61JAQkTS7x5tcRr8RsLMnXhFaapK2JidNKxN/3QeAdwM3ArrbPXMx4Ay8sPEhoyGnvHUQ10RGqQfA9SZYUFG7Jryaqil5OuCWf7hrMJ5JMFHUVSfOJ8txHyk+/t74kBYWl+DQiUdSqdvmNa7Bt15Ab3rZEguBK4FDblSt/mqKUx+9cWjSQtAzwM9uv6DDeUeUCaLRJmqvoeLUln3YA1gTOZXg5e+UkVJ1oyOHrPeW2JXL+RuDhGqpzkHSV7RerTRxbNYiG15FsGif2KwlBdgEX1tSi0hKo/Uh7bOATtv9VR/wmKO/p7Ynx/tL2OT0eUrKIqCHR4iaR9ObR9ts+tWLc2whDiHuqxBkl7lZEG1SrPfUB4G2uKIbcZJJPbVppttdVzVppklYhrvnvrxinMWHhktT6Y6uNvbzvWm6tR07E1rOycPQqwgn2I7avyURRkiy4JtwP2BW4mjCfOLcOOYVkiEwUJckiImmm7R0biDubKONvVQjsCxziPhY8lXQqsAmhu2Vgd+JE/Vvo3D2rCRZSIVApCdUko1VA1VUVJemHwJeIlsdtiSToVrb3HfeJC497PHCc7UbalUqFQPtK/oSbOLQjaXXgXucX+cAg6QLg9VWrOruJpPZqouWIVdvrbe9dMe4MYK+WDlRdSLoJeI/tX5Xt7YGvV51cN5nkk3Qd0SI3sy15P9f2JhXj1toOLOnpDC22PElY2Pb/qzDW64FX2L5P4aT5A+AQYHPgBVXfb4OIwrzgY0SL37vLwuIXbL+ux0NLkp4i6VJCP+7siX4t2CSpUdRFFCIYbwTWtf0JSf8BPNP21T0eWrJozFLYMZ7BcEvx68d+yiIh26e1bX+3CHD2M7eXnxYtN5yOBIYljdtvXyXx1GoVkTTV9qwRr9vPrWgrStre9uUAkqYQFYl18C6iiu3ZwF3ARQxVMFVhe+CtCoenfzNUNVl1gjZqiwoVNCskjasH0m+tQEUT7bPAfYTuymmEpf0kSW+2PaOX40sWmaZEixvD9iHt26U65bQxHr44fAi4orTC1vm3mN9KEpV4l5eK7qo05UwGzWml/ZihduDK43azwsJLtU349gGOt302cLakCelmZPss4Ky27TuIxF+STGhs79TrMUwEMlHUXb5OTHJeRlzo/4OoJNm6l4NKFpkp5bZ9Jc7E/7MKl0o6nFg9M3GB9FMVB5AqmfKSCJlj+yGFw8mLgGOL+FvHuLhm1UgrwfR84vPQmsTvBtQl8noc8fsvbF+/8Hbg22VSBmE9X0v1U2n1eGMdsUawcwMxAT4AvLDmFpXtgD8SlXxXMdzJqB/5GvBhQlD5F0Tr52xJGxK/QyaKakDS622fJWldh4B83TQlWtxNHiY0w6ryLeK9PJe4NqpE0REEuFrSt4jPRes7dWbV+DSb5JunsP9eSmHoMI3QDavKWrZfXUOcYbgZYeGlJD3F9mNE1do7245NyPmKpM8DnyQWSWYAmwHTbdfigJokSTIe2XrWRSRdb/tFdeuCJINNqb4Yi0rCnqUEfzNC/PY0wulqL9s7dBqzxN2K0HUZKepZtXLkIuB1LfFRhQX6WVUudBUOX1MIJ5wvtx2aDOzZ75+/0m4l23U47LVirkuU9K/D8P9fHVob2wPPs32ywrp9paoT7iZaVIruWKvHfVPgp4QA4s11vUadSJpje/Ny/xbbL2g7tuA7JalG2/f09bYbSSI3IVrcJJLOZ6i6ZRKwEXCm7cMrxr3C9pSFP3KR4106zmHbrrSoI2lU5zTbp1SJW2I3opXWdDtwnUj6CLALcA+wNvAi25a0PnBKHW3Xg0brvC9pT2AP4FDg0n6/bkmSZMlgQmboe8ijZXLSsnhegxpW0ZJmabItqjy/Scvdx8qF1u5EJdFJY13sLibfI6xra1kJbmNtQui9xSNEMqMKyxCOL09heGvcg4TzV18h6U22vzvyfddqSahJ/+lcIml4PjX+/yQdAWxFVIadTLRpfJewXa9C7S0qth8nVmhnFB2P/YCZko52Aw5PNdD+f/rniGO54lMf95aEw7qjtSdWTaa2ixaX16hVtLghjmm7/xjwB9t31RD3UknvJM5D7Z/rjqpom25FqCMhNE7sh4lE0UdqDt1IO3AT2P5UqdZ6JnBRm/baJGJhYyKydLndhVjIuG9Ee2KSJEljZKKou3wVOAd4uqRPEZPUj/Z2SMki0EhbVJccPuZL+hDwJuClJVG59EKesyj8zXYT7ROnEW0D5xCT3z0Jt4+OsX0ZcJmk71RtuesSLR2i0fSe6koI/Mv2V2uK1c6ewBYUkVPbfypVYVWptUWlRUkQ7UokidYhztF95YLXxmaSHiQmesuX+5Tt5Xo3rCWOXYl21NOALzYQ/0hgG0orlO05pcKvn/k/Qo/GwC01JYkA9i+3H2rbV0l7DEDSM4BPA8+yvbOkjQh3tZMqxp1K/P9albStpEs/a6U11Q7cCLZnj7Lvt70YS59wvqRbicWBd5cF5r515EySZMkiW8+6hKRJhLvQfUTvtYBLbN/S04Eli0zdbVHdcPiQtCZxMX6N7V9JWpuwsK1qa/xyYnI9Uquh40l2EXtfC1gDeEnZ/UvbN1QY6si2iSfRbyv5ktYaayImaTfb59fwGvsTGiMXMfz/V0mYXdLVtrdpa99ZEbiyhpbEWltUSsxTgI2BC4Af2J5XZ/xksJG0hu2/NRD3KtsvHtGC3pd216Xt9UTC1epG4rplM0IY+e22Hxzn6T1D4Sx3MmEnvpmkpwA3uLqD2K1E6891wOOt/bbvrRDzb4yjlVYWOjqJO9n2gy2tw5HUtBCVdAFJqwEP2n68fKeu3FpgTJIkaZKsKOoStp+Q9EXb2wG39no8SUfU3RbVuMNHuZhob1VaG3gxUClRBBwIbEhUJ7UqPEyFaozSIneu7S0Zst2tg2MW/pC+4hJJ/2n7zvadkg4kKhArJ4qATYADCCH29v9fVWH2M4uI7KqSDiLEt0+oGBNqblEpHEC4F24ATGsr529VCUyuEDsZUNoTy6O1eNSQWG5KtLgJvgr8GtjX9hOwIKH/MUJc/c1VgktaGvgv4KVl10zgW7YfrRIXWN32maWaFtuPSXp8YU9aBB6wfUENcdpZkyGttP2pTyvt+8BriKSWGZ6Aqly1lXSHol31HuLa7Z3As4jq9p/0clxJkkwMMlHUXS6S9DrgR22918ngMFpbVJWES1ccPooGxv7AG4DfA2fXEHazqquzYzBb0ta2r6krYKcrsj3kUOBiSbvYvg2gTHj2ByqJkLexJ/Bc248s9JGLge1jJL2S0H96PvBx2xfXELr2FhXbkyqNKFlSaTqxfAihQ/NvoorkQsIFtR+Zavut7TvKtcvRkm6rIf43iMWGr5ftA8q+d1SM+5CkpzGU8NuWsIivyqWSvkAsiNRSidmUVprt15Tbfm9rTMbnZCLZ16qovQs4i0wUJUnSBbL1rItImk/ojzxG9BjnyvWAobDfraUtqkmHD0kbAPsSF533AmcAH7D9nE5jjoh/AvBl27+uI15b3F8TFR5/IKo9ahPeLKv3nyEcexZoulTRl2iK0tr3LcLl5B2ENtZrbP+9pvhnAIfY/msd8UaJP5nhbmrZ5pAMHJKWIc5HAL+podJloJD0O9vrj3HsNtvPqxj/Sa6vo+3rIO6LgOOI1tJ5RDvz3rZvqhh3NFc1u7qb2kittPOAb9u+u0rcEvsS2y9f2L6kP5F0re2tlG7JSZL0gKwo6iK26xB1TbrMiB7/O8vPgmMVHFqadPi4FfgVsJvt35WxHloxZjvbA29pwEmlSeHNk4EjgC8DOxHtc31pH2L7EklvJVoxrgBe7oo2ySN4BnCrpGsYvjJe1dHpYOBoQnjzCcr7guritE21qCTJqEjakRDSv5N4H/+HpLfY7sjAoAuixU0wS9LHCZv2BauKkj4GPEl0uAMel7Se7dtL3OfSpv3TKbavl7QDUdUoakryuQFXtRFaaUfVpZUmaTlgBWD1onHT+q6bTLQvJYPBI5KWZ6g6bj3avrOTJEmaJCuKukiu7AwmJRnS3uPf+tBUdjxpCkl7EhVFU4iy9h8AJ9ZVhi5p1Mok1+QqJunpDK/6+b8aYl5ne0tJc1ttc5J+ZfslC3tuNymVh63327LAo8TkqbYKxDKJehJV2/RKO8p2tu+pEmeUuCcSLSotB7wDgMdtV21RSZJRkXQdsL/t35TtDQjtmC07jNeIaHGTlMrAkwgXuDnEeWkL4AZCzLpSO1epnDwZuIP4ezwHOND2aJU7ixP39cAM2/MlfbSM/5NVWsRK3Nrd1CQ9QVTPwnDThUrne0nvBaYTSaG7GXq/PQicYPtrnY046SallfujRCX0RcBU4K22Z/ZyXEmSTAwyUdQF2lZ2LgV2ZPjKzgW2X9CjoSVLOMUhYw+ipP1lxET7HNsX1RS/1oSOpNcSltTPAv5KTBxusf3CKnFL7FlE2+APCav1u4HP2n5+1dhJIGkGsJfth2uO20iLSpKMxWhOZFXcySQtxZBo8abUJ1rcGC0NvVLFsBFx7XJzqwKoQtzpwCwi4bQUQ5U/t9quXC3R+j9J2p5oNz4G+LDtF1eM24ibWpNIOqSK1lHSe4re1rbEZ2R23QsxSZIkY5GtZ93hYIZWdq5j+MrO//ZqUMmiIWlD27cW3YMnUXWVsklsPwR8D/heaaF7PXA4sTLVMWMldICqCZ1PEBdEP7e9haSdiIlVHUwnErbTyuvsBLylptgDRVvVEsAyRLXOQzVUK30IuELSVQxvaZtWMW4jLSpJMg7XSjqJMDEAeCPx/d0RTYkWN8xsSXdRxu0RTowVWAs4lnDOvIlor51FVFzV0VbTOjfsCnzD9o8lHdlpsDbTiabc1BrD9nGSphDaR+26cVWdT5PusRzwd+L/t5EkOm2BTZIkWRyyoqiL5MrOYCLpeNvvbErIchCRdCNRoTQsoWP7nQt56sLitoQbbwS2sP2EpKttb1PHuMtrrFgSaElB0h7ANrY/XDHO1cDlwFxCowgA26eM+aRFi9tIi0qSjEVJ5ryH0GMT8Evg61UqXpoULW6K0ma8M/Bq4NnE5/sC4LKq1T9FLHwrokV6u/Jzv+2NKsb9CVEx+gpgS0Iz7epOKxAlXW/7RZJmAq8DLi7b2wKfs12XG2XtSDoNWI9oHWwltVxD8j7pApI+B+wD3MzQd6r7VNMsSZIljEwUdQFJWwN/tP2Xsv1m4mLjD8CRnYohJ0mvaCqhI+nnRKvcZ4DViWqlrW1PGfeJixZ7O0JvYyXba0vaDDjY9rurxl4SkDTb9rYVY1xRx/+qLV6jLSpJ0i1GiBb/oC7R4m5SROVfQiSNdgT+ZnvXCvFWIZJDU8vtqsBc2wdWHOcKZYxzbd8m6ZnAJp22XLccp9SQm1qTSLoF2Mh5sT+QSPoNsGl+3yVJ0gsyUdQFJF0PvML2fZJeSggLHwJsDrzA9t49HWCyyGQJd9BUQqdoKv2TcH57I7AK8D3b91YbMZR2qL2B8zxkMzvP9sZVYw8akvZq25xErOrvYHu7inE/RSTAz2d461lHyXBJxxDVBiNbVK7MBHvSBJJ2B9ay/b9l+yoiIQDwP7bP6jBuI6LFTVO0lU6x/aZRjj27k2ooSccTbcrzCWHv2YT2yt+rjnfE69SioVfa775UNicRJgMiznGP2/7SWM/tNZLOAqbZ/nOvx5IsPkUX6/W2/9HrsSRJMvFIjaLusFTbpGYf4HjbZwNnS5rTw3Eli8FYJdzAhEsUAbsTCZ1DGUroHN1pMEnrA8+wPavsegI4pSRWVwUqJ4oAbP9RGmY21Nf6Eg2yW9v9xwgL8N1riLt/uf1Q2z4DHTkD2v4APKlF5W3ACZIqt6gkySh8kHCMbLEssDWwItH+2FGiyPak6kPrPrYfl7SGpGVsPzLiWKctc2sTf9fbiBaxu4D7q410iFE09NYGbqVzDb2lgJUY4VRHaN71O6sDvy5twe3J+2xdGgweBuZIuoR6df+SJEkWSiaKusNSbWKILwfadVzyfzA4bMUEL+FuMKHzFWA0fZyHy7HdRjm2uPyxVIS5JB6mEQLcE46qrR3jxF23ibjA8oRL5Crl50+EDlKS1M0ytv/Ytn15qWi8t1Q8TkTuBGZJOo+hqig6raSx/WpFxv6FRPL3/cDGku4jqgWPqDjeuk0R/my744WQHnNkrweQVOK88tPOhL0GTZKku2SSojucDlwm6R6iCuNXsGDS/UAvB5YsFvOANYGJXMLdVEJnndF0HmxfK2mdDmOO5F2E086ziRXsiwix2gmHpM8DnyTORzOAzYDptr9bMe7SwH8BLy27ZgLfsv1oh/FGtqhcAXyp7haVJGljtfYN2//dtrkGE5M/lZ9JwMp1BCwLLvMk3U9cBz0AvAbYBqiaKHrU9r2SJkmaZPvSIgrcKSMriQYG25f1egxJJVa1fWz7Dknv7dVgkiSZWKRGUZco7hjPBC5qOS5J2oAQ1u1be/UEJJ1PrOCsTOhKTdgS7vE0fSTNtb1Jh3F/Z3v9xT2WdIakObY3l7QnoTV1KHBpp65AbXFPBJYGWi5nBxAaHu/oMN4MonViHpEkuhKYN5Gr+pJmkfQ9YKbtE0bsPxjY0XaVypSBRtLKRI6nkl6KpGlEJdFU4FGK7li5nWv7iXGevijxa9XQk/TUQdVEkzSfoQqUZYjz80P9qomVDKfluDdi3w0tncUkSZImyYqiLmF79ij7ftuLsSSLzTG9HkAfsdw4x5avEPcaSQeNMjl7O3BdhbhIOo5xSrUnaK//0uV2F+D0IrRfR9ytRySbflGc8TqiCy0qSTKSQ4FzJe0PtBZxtiQ0dfbo2ah6iKSNgdOAp5bte4A32765w5DrAD8EDm1IZLlWDb1BTRIB2B5WASZpD6JqK+ljJO1HaP6tW1o+W6xMTZqNSZIkCyMTRUmycO5muC4PAEWXp1Mxz0GlqYTOdOAcSW9si7MVsQK6Z4W4ANe23T+K6m0NSwLnS7qVmEy9W9IawL9qiPu4pPVs3w4g6blUFAxvuEUlSYZh+6/AFEkvY0j8+Ke2f9HDYfWa44H32b4UQNKOwAlE8naxsf2++oY2avyWjtITkn4K3JtViIHtcyUd3utxJAvlCkLmYHVCmL3FfMIBNEmSpHGy9SxJFoKknwAfHqmhI2kr4AjbdQgtDwSSngGcAzzCKAkd23+pDrjX/wAACelJREFUGH8noNXadnPdk7Ms2R5C0mrAg8XVaAVgcg3/v5cTzlB3ELoezwEObE0wO4jXaItKkiQLR9KNI9tSR9vXa0qL/2eB+whB69OIifYkogJqRg+H1xMk7dW2OYn4vt7B9nY9GlKSJEkyIGSiKEkWQlO6PINM0wmdphit33+iUhzg1qGtstT2qR3Gmk4kb24grKSfTySKbrX97/Geu5C4XyJWVmc11KKSJMlCkHQO0YZ3Wtn1JmAr233ViifpWsJsYRWiCmpn27MlbUi02E64RQJJJ7dtPkY42J1QKueSPkXS5ba3H6ExBfG96tSYSpKkG2SiKEkWQgotLzlkoiiQdBqwHjCHodYwd6rXJOkYovJnQ6Is/gpK9c8g63skSbKg+vAoYHtiovpL4Mh+cx9sifSX+7fYfkHbsawmTQYGSc+x/YdejyNJkolNahQlycJpTGg5aZ4RK3IrSHqwdYiJuzK3FbBRXbodtj8AIGmZEnsK8DbgBEn3296ojtdJkqT7lITQNEmTgSequp41SHsr6j9HHJtQq6Jp4jDwnAO8CEDS2bZf1+PxJEkyAclEUZIsnCaFlpOGGen6kgBhN78mIZZZJ8sDk4nWj1WAPwFza36NJEm6iKRNgFMZ7nr2FtvzejqwJ7NZWQgQsPyIRYHxHDuXRNLEYbBptyF9bs9GkSTJhCZbz5JkERlUXZ4kGYmkS4HNgauBBRpCtl/bYbzjCYeo+cBVwGxgdr+1piRJsvhIugL4yAjXs0/b7sj1LOku2XY3eLS3yWfLfJIkvSIripJkESkXyR25NyVJn3FkzfHWBpYFbgPuBu4C7q/5NZIk6Q0rtjsX2p4pacVeDihZLHJFePAYrzpuorbMJ0nSZbKiKEmSZAIi6RnA1mXz6qouOJJEVBVNKT8bEzbVV9rOtockGVAGxfUsGZ2sSEmSJEk6IRNFSZIkEwxJbwC+AMwkVihfAhxm+4c1xF4LmEoki14DPM32qlXjJknSGwbF9SwZYqSJA/Bw6xBZkZIkSZIsApkoSpIkmWBIuhF4ZauKSNIawM9tb9ZhvGlEYmgq8CgwC7iy3M61/cQ4T0+SJEmSJEmSpI9IjaIkSZKJx6QRrWb3ApMqxFsH+CFwqO26ndSSJOkBks5nfIv1jsTvkyRJkiTpfzJRlCRJMvGYIelC4PSyvQ9wQafBbL+vllElSdJPHFNu9wLWBL5btvcD7uzFgJIkSZIk6Q7ZepYkSTIBkbQXbZojts/p8ZCSJOlDJP3S9ksXti9JkiRJkiWHTBQlSZJMECStDzzD9qwR+18K3G379t6MLEmSfkXSLcCutu8o2+sCP7P9gt6OLEmSJEmSpqiiSZEkSZIMFl8B5o+y/+FyLEmSZCSHAjMlzZQ0E7gUmN7bISVJkiRJ0iRZUZQkSTJBkDTP9sZjHJtre5NujylJkv5H0rLAhmXzVtv/7uV4kiRJkiRplhSzTpIkmTgsN86x5bs2iiRJBo0tCXfDpwCbScL2qb0dUpIkSZIkTZGJoiRJkonDNZIOsn1C+05Jbweu69GYkiTpYySdBqwHzAEeL7sNZKIoSZIkSZZQsvUsSZJkgiDpGcA5wCMMJYa2ApYB9rT9l16NLUmS/qSIWW/kvGBMkiRJkglDVhQlSZJMEGz/P2CKpJ2AllbRT23/oofDSpKkv5kHrAn8udcDSZIkSZKkO2RFUZIkSZIkSTIqki4FNgeuBhaIWNt+bc8GlSRJkiRJo2RFUZIkSZIkSTIWR/Z6AEmSJEmSdJesKEqSJEmSJEmSJEmSJEmArChKkiRJkiRJRiBpPuFu9qRDgG1P7vKQkiRJkiTpEllRlCRJkiRJkiRJkiRJkgAwqdcDSJIkSZIkSZIkSZIkSfqDTBQlSZIkSZIkSZIkSZIkQCaKkiRJkiRJkiRJkiRJkkImipIkSZIkGTgkrSnpB5Jul/RrST+TtME4j19V0ru7OcbxkHSkpIclPb1t3z96OaYkSZIkSRLIRFGSJEmSJAOGJAHnADNtr2d7I+DDwDPGedqqQOOJIkmL4yh7D/D+psaSJEmSJEnSCZkoSpIkSZJk0NgJeNT2N1s7bM+x/StJK0m6RNL1kuZK2r085LPAepLmSPoCgKTDJF0j6SZJR7ViSfqYpFslXSzpdEkfKPs3lzS7PP4cSauV/TMlfVrSZcBHJP1e0tLl2GRJd7a2R/BtYB9JTx15QNK5kq6TdLOkd7bt/4ekz5VjP5e0TXn9OyS9tjxmKUlfaPvdDq72506SJEmSZCKRiaIkSZIkSQaNjYHrxjj2L2BP2y8iEkpfLBVIhwO3297c9mGSXgU8D9gG2BzYUtJLJW0FvA7YAtgL2Kot9qnA/9jeFJgLHNF2bFXbO9g+CpgJ7Fr27wucbfvRUcb6DyJZ9N5Rjr3N9pbl9adJelrZvyJRSbUlMB/4JPBKYE/g6PKYtwMP2N4a2Bo4SNK6Y/y9kiRJkiRJhrE45dFJkiRJkiT9joBPS3op8ATwbEZvSXtV+bmhbK9EJI5WBn5s+58Aks4vt6sQyaDLyuNPAc5qi3dG2/0TgQ8C5wIHAgeNM96vAnMkfXHE/mmS9iz3/6OM7V7gEWBG2T8X+LftRyXNBdZp+902lbR32V6lPP/344wjSZIkSZIEyERRkiRJkiSDx83A3mMceyOwBrBlSaDcCSw3yuMEfMb2t4btlA7tcEwPte7YniVpHUk7AEvZnjfWk2zfL+n7tOknSdoReAWwne2HJc1s+x0ete1y/wng3yXOE236SAIOsX1hh79LkiRJkiQTmGw9S5IkSZJk0PgFsKykBZU6krYuiZlVgL+WJNFOwHPKQ+YT1UItLgTeJmml8vxnFweyy4HdJC1Xju0KYPsB4O+SXlKefwBwGWNzKnA6cPIi/D5fAg5maAFvFeDvJUm0IbDtIsRo50Lgv9p0kjaQtOJixkiSJEmSZIKSFUVJkiRJkgwUtl3asr4i6XBCl+hOYDpRbXS+pGuBOcCt5Tn3SpolaR5wQdEpegFwZUgY8Q/gTbavkXQecCPwB+Ba4IHy0m8BvilpBeAOoq1sLL5H6Aedvgi/zz2SzgFa1UwzgHdJugn4DTB7Uf4ubZxItKFdX/SZ/gbssZgxkiRJkiSZoGioejlJkiRJkiSRtJLtf5SE0C+Bd9q+fjFj7A3sbvuARgaZJEmSJEnSEFlRlCRJkiRJMpzjJW1E6AKd0kGS6DhgZ2CXJgaXJEmSJEnSJFlRlCRJkiRJkiRJkiRJkgApZp0kSZIkSZIkSZIkSZIUMlGUJEmSJEmSJEmSJEmSAJkoSpIkSZIkSZIkSZIkSQqZKEqSJEmSJEmSJEmSJEmATBQlSZIkSZIkSZIkSZIkhUwUJUmSJEmSJEmSJEmSJAD8f1AzoiTZAMMOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#按照不同的Category Name,平均值\n",
    "cat = data.groupby('Category Name')\n",
    "cat['Sales per customer'].mean().sort_values(ascending=False).plot.bar(figsize=(20,10), title='Sales in different category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:43:00.531974Z",
     "start_time": "2020-11-14T07:41:48.274062Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2018-01-31 22:56:00', '2018-01-13 12:27:00',\n",
       "               '2018-01-13 12:06:00', '2018-01-13 11:45:00',\n",
       "               '2018-01-13 11:24:00', '2018-01-13 11:03:00',\n",
       "               '2018-01-13 10:42:00', '2018-01-13 10:21:00',\n",
       "               '2018-01-13 10:00:00', '2018-01-13 09:39:00',\n",
       "               ...\n",
       "               '2016-01-16 06:49:00', '2016-01-16 06:49:00',\n",
       "               '2016-01-16 06:28:00', '2016-01-16 06:07:00',\n",
       "               '2016-01-16 05:04:00', '2016-01-16 03:40:00',\n",
       "               '2016-01-16 01:34:00', '2016-01-15 21:00:00',\n",
       "               '2016-01-15 20:18:00', '2016-01-15 18:54:00'],\n",
       "              dtype='datetime64[ns]', name='order date (DateOrders)', length=180519, freq=None)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#按照不同的时间维度(年，月，周，小时)\n",
    "#创建时间戳索引\n",
    "temp = pd.DatetimeIndex(data['order date (DateOrders)'])\n",
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:43:00.999000Z",
     "start_time": "2020-11-14T07:43:00.536974Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_year</th>\n",
       "      <th>order_month</th>\n",
       "      <th>order_weekday</th>\n",
       "      <th>order_hour</th>\n",
       "      <th>order_month_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>22</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180514</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180515</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180516</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180517</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180518</th>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>180519 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        order_year  order_month  order_weekday  order_hour order_month_year\n",
       "0             2018            1              2          22          2018-01\n",
       "1             2018            1              5          12          2018-01\n",
       "2             2018            1              5          12          2018-01\n",
       "3             2018            1              5          11          2018-01\n",
       "4             2018            1              5          11          2018-01\n",
       "...            ...          ...            ...         ...              ...\n",
       "180514        2016            1              5           3          2016-01\n",
       "180515        2016            1              5           1          2016-01\n",
       "180516        2016            1              4          21          2016-01\n",
       "180517        2016            1              4          20          2016-01\n",
       "180518        2016            1              4          18          2016-01\n",
       "\n",
       "[180519 rows x 5 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#'order date (DateOrders)中的年，月，星期，日，小时\n",
    "data['order_year'] = temp.year\n",
    "data['order_month'] = temp.month\n",
    "data['order_weekday'] = temp.weekday\n",
    "data['order_hour'] = temp.hour\n",
    "#到month为止\n",
    "data['order_month_year'] = temp.to_period('M')\n",
    "\n",
    "data[['order_year','order_month','order_weekday','order_hour','order_month_year']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:43:03.059868Z",
     "start_time": "2020-11-14T07:43:01.005001Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x27f797f0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#按照销售额的不同时间维度进行探索\n",
    "plt.figure(figsize=(20,20))\n",
    "plt.subplot(4,2,1)\n",
    "df_year = data.groupby('order_year')\n",
    "df_year['Sales'].mean().plot(title='Mean sales in years',figsize=(12,12))\n",
    "\n",
    "plt.subplot(4,2,2)\n",
    "df_year = data.groupby('order_weekday')\n",
    "df_year['Sales'].mean().plot(title='Mean sales in weekdays',figsize=(12,12))\n",
    "\n",
    "plt.subplot(4,2,3)\n",
    "df_year = data.groupby('order_hour')\n",
    "df_year['Sales'].mean().plot(title='Mean sales in hours',figsize=(12,12))\n",
    "\n",
    "plt.subplot(4,2,4)\n",
    "df_year = data.groupby('order_month')\n",
    "df_year['Sales'].mean().plot(title='Mean sales in months',figsize=(12,12))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:43:06.384058Z",
     "start_time": "2020-11-14T07:43:03.065868Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Relationship between Product Price and Sales per customer')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Product Price 与Sales per customer的相关性如何\n",
    "data.plot(x='Product Price', y='Sales per customer')\n",
    "plt.title('Relationship between Product Price and Sales per customer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:43:09.629386Z",
     "start_time": "2020-11-14T07:43:06.388058Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Relationship between Product Price and Sales per customer')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Product Price 与Sales per customer的相关性如何\n",
    "data.plot(x='Product Price', y='Sales per customer', kind='scatter')\n",
    "plt.title('Relationship between Product Price and Sales per customer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:13.925510Z",
     "start_time": "2020-11-14T07:43:09.636386Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2018-01-31 23:38:00')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#时间类型转换\n",
    "data['order date (DateOrders)'] = pd.to_datetime(data['order date (DateOrders)'])\n",
    "#统计最后一笔订单时间\n",
    "data['order date (DateOrders)'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:13.976513Z",
     "start_time": "2020-11-14T07:44:13.934511Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([   9.98999977,    9.98999977,    9.98999977, ..., 1999.98999   ,\n",
       "       1999.98999   , 1999.98999   ])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "np.sort(data['Product Price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:14.005515Z",
     "start_time": "2020-11-14T07:44:13.984514Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2018, 2, 1, 0, 0)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#假设现在时间为2018.2.1\n",
    "import datetime\n",
    "\n",
    "present = datetime.datetime(2018,2,1)\n",
    "present"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:24.330106Z",
     "start_time": "2020-11-14T07:44:14.016516Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order date (DateOrders)</th>\n",
       "      <th>Order Id</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Order Customer Id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>792</td>\n",
       "      <td>1</td>\n",
       "      <td>499.950012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>136</td>\n",
       "      <td>10</td>\n",
       "      <td>1819.730034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>229</td>\n",
       "      <td>18</td>\n",
       "      <td>3537.680094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>380</td>\n",
       "      <td>14</td>\n",
       "      <td>1719.630030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>457</td>\n",
       "      <td>7</td>\n",
       "      <td>1274.750023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20753</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>215.820007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20754</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>215.820007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20755</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>327.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20756</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.540000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20757</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>39.750000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20652 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   order date (DateOrders)  Order Id        Sales\n",
       "Order Customer Id                                                \n",
       "1                                      792         1   499.950012\n",
       "2                                      136        10  1819.730034\n",
       "3                                      229        18  3537.680094\n",
       "4                                      380        14  1719.630030\n",
       "5                                      457         7  1274.750023\n",
       "...                                    ...       ...          ...\n",
       "20753                                    0         1   215.820007\n",
       "20754                                    0         1   215.820007\n",
       "20755                                    0         1   327.750000\n",
       "20756                                    0         1    11.540000\n",
       "20757                                    0         1    39.750000\n",
       "\n",
       "[20652 rows x 3 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#计算每个用户的RFM指标\n",
    "#按照Order Customer Id进行聚合Recency，Frequency，Money\n",
    "customer_seg = data.groupby('Order Customer Id').agg({'order date (DateOrders)':lambda x:(present-x.max()).days, \\\n",
    "                                                     'Order Id': lambda x: len(x), \\\n",
    "                                                     'Sales':lambda x:sum(x)})\n",
    "customer_seg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:24.362107Z",
     "start_time": "2020-11-14T07:44:24.334106Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order date (DateOrders)</th>\n",
       "      <th>Order Id</th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.25</th>\n",
       "      <td>75.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>293.040008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.50</th>\n",
       "      <td>159.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1499.825033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.75</th>\n",
       "      <td>307.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2915.880065</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      order date (DateOrders)  Order Id        Sales\n",
       "0.25                     75.0       1.0   293.040008\n",
       "0.50                    159.0       7.0  1499.825033\n",
       "0.75                    307.0      15.0  2915.880065"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#RFM数据划分为4个尺度\n",
    "quantiles = customer_seg.quantile(q=[0.25, 0.5, 0.75])\n",
    "quantiles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-13T11:24:51.757403Z",
     "start_time": "2020-11-13T11:24:51.726202Z"
    }
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:24.396109Z",
     "start_time": "2020-11-14T07:44:24.367108Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>R_Value</th>\n",
       "      <th>F_Value</th>\n",
       "      <th>M_Value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Order Customer Id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>1</th>\n",
       "      <td>792</td>\n",
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       "      <td>499.950012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>136</td>\n",
       "      <td>10</td>\n",
       "      <td>1819.730034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>229</td>\n",
       "      <td>18</td>\n",
       "      <td>3537.680094</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>380</td>\n",
       "      <td>14</td>\n",
       "      <td>1719.630030</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>457</td>\n",
       "      <td>7</td>\n",
       "      <td>1274.750023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>215.820007</td>\n",
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       "    <tr>\n",
       "      <th>20755</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>327.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20756</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.540000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20757</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>39.750000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20652 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   R_Value  F_Value      M_Value\n",
       "Order Customer Id                               \n",
       "1                      792        1   499.950012\n",
       "2                      136       10  1819.730034\n",
       "3                      229       18  3537.680094\n",
       "4                      380       14  1719.630030\n",
       "5                      457        7  1274.750023\n",
       "...                    ...      ...          ...\n",
       "20753                    0        1   215.820007\n",
       "20754                    0        1   215.820007\n",
       "20755                    0        1   327.750000\n",
       "20756                    0        1    11.540000\n",
       "20757                    0        1    39.750000\n",
       "\n",
       "[20652 rows x 3 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#customer_seg修改字段名\n",
    "customer_seg.rename(columns={'order date (DateOrders)':'R_Value',\\\n",
    "                     'Order Id':'F_Value',\\\n",
    "                    'Sales':'M_Value'},inplace=True)\n",
    "customer_seg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:24.423111Z",
     "start_time": "2020-11-14T07:44:24.402110Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'R_Value': {0.25: 75.0, 0.5: 159.0, 0.75: 307.0},\n",
       " 'F_Value': {0.25: 1.0, 0.5: 7.0, 0.75: 15.0},\n",
       " 'M_Value': {0.25: 293.0400085,\n",
       "  0.5: 1499.8250332400003,\n",
       "  0.75: 2915.8800654175006}}"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#讲RFM数据划分为4个尺度\n",
    "quantiles = customer_seg.quantile(q=[0.25, 0.5, 0.75])\n",
    "quantiles = quantiles.to_dict()\n",
    "quantiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:24.652124Z",
     "start_time": "2020-11-14T07:44:24.434112Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>20756</th>\n",
       "      <td>0</td>\n",
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       "      <td>11.540000</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>20757</th>\n",
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       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20652 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   R_Value  F_Value      M_Value  R_Score  F_Score  M_Score\n",
       "Order Customer Id                                                          \n",
       "1                      792        1   499.950012        1        1        2\n",
       "2                      136       10  1819.730034        3        3        3\n",
       "3                      229       18  3537.680094        2        4        4\n",
       "4                      380       14  1719.630030        1        3        3\n",
       "5                      457        7  1274.750023        1        2        2\n",
       "...                    ...      ...          ...      ...      ...      ...\n",
       "20753                    0        1   215.820007        4        1        1\n",
       "20754                    0        1   215.820007        4        1        1\n",
       "20755                    0        1   327.750000        4        1        2\n",
       "20756                    0        1    11.540000        4        1        1\n",
       "20757                    0        1    39.750000        4        1        1\n",
       "\n",
       "[20652 rows x 6 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#将value转换为score\n",
    "\n",
    "#R_Value转换为R_Score,R_value越小，R_Score越大\n",
    "def R_Score(a,b,c):\n",
    "    if a <= c[b][0.25]:\n",
    "        return 4\n",
    "    elif a <= c[b][0.5]:\n",
    "        return 3\n",
    "    elif a <= c[b][0.75]:\n",
    "        return 2\n",
    "    else:\n",
    "        return 1\n",
    "    \n",
    "def FM_Score(a,b,c):\n",
    "    if a <= c[b][0.25]:\n",
    "        return 1\n",
    "    elif a <= c[b][0.5]:\n",
    "        return 2\n",
    "    elif a <= c[b][0.75]:\n",
    "        return 3\n",
    "    else:\n",
    "        return 4\n",
    "\n",
    "customer_seg['R_Score'] = customer_seg['R_Value'].apply(R_Score, args=('R_Value',quantiles))\n",
    "customer_seg['F_Score'] = customer_seg['F_Value'].apply(FM_Score, args=('F_Value',quantiles))\n",
    "customer_seg['M_Score'] = customer_seg['M_Value'].apply(FM_Score, args=('M_Value',quantiles))\n",
    "customer_seg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:27.562290Z",
     "start_time": "2020-11-14T07:44:24.658124Z"
    }
   },
   "outputs": [
    {
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       "      <td>一般发展用户</td>\n",
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       "      <td>0</td>\n",
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       "      <td>一般发展用户</td>\n",
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       "      <td>4</td>\n",
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       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>一般发展用户</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>一般发展用户</td>\n",
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       "</table>\n",
       "<p>20652 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   R_Value  F_Value      M_Value  R_Score  F_Score  M_Score  \\\n",
       "Order Customer Id                                                             \n",
       "1                      792        1   499.950012        1        1        2   \n",
       "2                      136       10  1819.730034        3        3        3   \n",
       "3                      229       18  3537.680094        2        4        4   \n",
       "4                      380       14  1719.630030        1        3        3   \n",
       "5                      457        7  1274.750023        1        2        2   \n",
       "...                    ...      ...          ...      ...      ...      ...   \n",
       "20753                    0        1   215.820007        4        1        1   \n",
       "20754                    0        1   215.820007        4        1        1   \n",
       "20755                    0        1   327.750000        4        1        2   \n",
       "20756                    0        1    11.540000        4        1        1   \n",
       "20757                    0        1    39.750000        4        1        1   \n",
       "\n",
       "                  Customer Segmentation  \n",
       "Order Customer Id                        \n",
       "1                                一般挽留用户  \n",
       "2                                重要价值用户  \n",
       "3                                重要保持用户  \n",
       "4                                重要保持用户  \n",
       "5                                一般挽留用户  \n",
       "...                                 ...  \n",
       "20753                            一般发展用户  \n",
       "20754                            一般发展用户  \n",
       "20755                            一般发展用户  \n",
       "20756                            一般发展用户  \n",
       "20757                            一般发展用户  \n",
       "\n",
       "[20652 rows x 7 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#计算RFM用户分层\n",
    "\n",
    "def RFM(df):\n",
    "    if df['M_Score'] > 2 and df['R_Score'] > 2 and df['F_Score'] > 2:\n",
    "        return '重要价值用户'\n",
    "    if df['M_Score'] > 2 and df['R_Score'] > 2 and df['F_Score'] <= 2:\n",
    "        return '重要发展用户'\n",
    "    if df['M_Score'] > 2 and df['R_Score'] <= 2 and df['F_Score'] > 2:\n",
    "        return '重要保持用户'\n",
    "    if df['M_Score'] > 2 and df['R_Score'] <= 2 and df['F_Score'] <= 2:\n",
    "        return '重要挽留用户'\n",
    "    if df['M_Score'] <= 2 and df['R_Score'] > 2 and df['F_Score'] > 2:\n",
    "        return '一般价值用户'\n",
    "    if df['M_Score'] <= 2 and df['R_Score'] > 2 and df['F_Score'] <= 2:\n",
    "        return '一般发展用户'\n",
    "    if df['M_Score'] <= 2 and df['R_Score'] <= 2 and df['F_Score'] > 2:\n",
    "        return '一般保持用户'\n",
    "    if df['M_Score'] <= 2 and df['R_Score'] <= 2 and df['F_Score'] <= 2:\n",
    "        return '一般挽留用户'\n",
    "\n",
    "customer_seg['Customer Segmentation'] = customer_seg.apply(RFM, axis=1)\n",
    "customer_seg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:27.620294Z",
     "start_time": "2020-11-14T07:44:27.566291Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DEBIT       69295\n",
       "TRANSFER    49883\n",
       "PAYMENT     41725\n",
       "CASH        19616\n",
       "Name: Type, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#显示不同地区的支付类型\n",
    "data['Type'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:28.108322Z",
     "start_time": "2020-11-14T07:44:27.625294Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Days for shipping (real)</th>\n",
       "      <th>Days for shipment (scheduled)</th>\n",
       "      <th>Benefit per order</th>\n",
       "      <th>Sales per customer</th>\n",
       "      <th>Delivery Status</th>\n",
       "      <th>Late_delivery_risk</th>\n",
       "      <th>Category Id</th>\n",
       "      <th>Category Name</th>\n",
       "      <th>Customer City</th>\n",
       "      <th>...</th>\n",
       "      <th>Product Price</th>\n",
       "      <th>Product Status</th>\n",
       "      <th>shipping date (DateOrders)</th>\n",
       "      <th>Shipping Mode</th>\n",
       "      <th>Customer Full Name</th>\n",
       "      <th>order_year</th>\n",
       "      <th>order_month</th>\n",
       "      <th>order_weekday</th>\n",
       "      <th>order_hour</th>\n",
       "      <th>order_month_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>91.250000</td>\n",
       "      <td>314.640015</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>2/3/2018 22:56</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>CallyHolloway</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>22</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>22.860001</td>\n",
       "      <td>304.809998</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/16/2018 11:45</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>TanaTate</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>95.180000</td>\n",
       "      <td>288.420013</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/15/2018 10:42</td>\n",
       "      <td>First Class</td>\n",
       "      <td>ConstanceTerrell</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>24.580000</td>\n",
       "      <td>245.809998</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/15/2018 8:15</td>\n",
       "      <td>First Class</td>\n",
       "      <td>NatalieMcfadden</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>-259.579987</td>\n",
       "      <td>324.470001</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/15/2018 7:33</td>\n",
       "      <td>First Class</td>\n",
       "      <td>SadeLancaster</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180505</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>112.669998</td>\n",
       "      <td>359.980011</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Highland</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/18/2016 13:28</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>ChristineBriggs</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180508</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>339.980011</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Waipahu</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/20/2016 7:10</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>RichardFuentes</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180511</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>157.429993</td>\n",
       "      <td>327.980011</td>\n",
       "      <td>Shipping on time</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Chula Vista</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/18/2016 6:28</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>OliviaSmith</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180512</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>86.400002</td>\n",
       "      <td>319.980011</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/22/2016 6:07</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>MaryMadden</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180515</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>-613.770019</td>\n",
       "      <td>395.980011</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Bakersfield</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/19/2016 1:34</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>RonaldClark</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>69295 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Type  Days for shipping (real)  Days for shipment (scheduled)  \\\n",
       "0       DEBIT                         3                              4   \n",
       "3       DEBIT                         3                              4   \n",
       "6       DEBIT                         2                              1   \n",
       "13      DEBIT                         2                              1   \n",
       "15      DEBIT                         2                              1   \n",
       "...       ...                       ...                            ...   \n",
       "180505  DEBIT                         2                              4   \n",
       "180508  DEBIT                         4                              2   \n",
       "180511  DEBIT                         2                              2   \n",
       "180512  DEBIT                         6                              4   \n",
       "180515  DEBIT                         3                              2   \n",
       "\n",
       "        Benefit per order  Sales per customer   Delivery Status  \\\n",
       "0               91.250000          314.640015  Advance shipping   \n",
       "3               22.860001          304.809998  Advance shipping   \n",
       "6               95.180000          288.420013     Late delivery   \n",
       "13              24.580000          245.809998     Late delivery   \n",
       "15            -259.579987          324.470001     Late delivery   \n",
       "...                   ...                 ...               ...   \n",
       "180505         112.669998          359.980011  Advance shipping   \n",
       "180508          85.000000          339.980011     Late delivery   \n",
       "180511         157.429993          327.980011  Shipping on time   \n",
       "180512          86.400002          319.980011     Late delivery   \n",
       "180515        -613.770019          395.980011     Late delivery   \n",
       "\n",
       "        Late_delivery_risk  Category Id   Category Name Customer City  ...  \\\n",
       "0                        0           73  Sporting Goods        Caguas  ...   \n",
       "3                        0           73  Sporting Goods   Los Angeles  ...   \n",
       "6                        1           73  Sporting Goods        Caguas  ...   \n",
       "13                       1           73  Sporting Goods        Caguas  ...   \n",
       "15                       1           73  Sporting Goods        Caguas  ...   \n",
       "...                    ...          ...             ...           ...  ...   \n",
       "180505                   0           45         Fishing      Highland  ...   \n",
       "180508                   1           45         Fishing       Waipahu  ...   \n",
       "180511                   0           45         Fishing   Chula Vista  ...   \n",
       "180512                   1           45         Fishing        Caguas  ...   \n",
       "180515                   1           45         Fishing   Bakersfield  ...   \n",
       "\n",
       "       Product Price Product Status shipping date (DateOrders)  \\\n",
       "0         327.750000              0             2/3/2018 22:56   \n",
       "3         327.750000              0            1/16/2018 11:45   \n",
       "6         327.750000              0            1/15/2018 10:42   \n",
       "13        327.750000              0             1/15/2018 8:15   \n",
       "15        327.750000              0             1/15/2018 7:33   \n",
       "...              ...            ...                        ...   \n",
       "180505    399.980011              0            1/18/2016 13:28   \n",
       "180508    399.980011              0             1/20/2016 7:10   \n",
       "180511    399.980011              0             1/18/2016 6:28   \n",
       "180512    399.980011              0             1/22/2016 6:07   \n",
       "180515    399.980011              0             1/19/2016 1:34   \n",
       "\n",
       "         Shipping Mode Customer Full Name order_year order_month  \\\n",
       "0       Standard Class      CallyHolloway       2018           1   \n",
       "3       Standard Class           TanaTate       2018           1   \n",
       "6          First Class   ConstanceTerrell       2018           1   \n",
       "13         First Class    NatalieMcfadden       2018           1   \n",
       "15         First Class      SadeLancaster       2018           1   \n",
       "...                ...                ...        ...         ...   \n",
       "180505  Standard Class    ChristineBriggs       2016           1   \n",
       "180508    Second Class     RichardFuentes       2016           1   \n",
       "180511    Second Class        OliviaSmith       2016           1   \n",
       "180512  Standard Class         MaryMadden       2016           1   \n",
       "180515    Second Class        RonaldClark       2016           1   \n",
       "\n",
       "       order_weekday order_hour  order_month_year  \n",
       "0                  2         22           2018-01  \n",
       "3                  5         11           2018-01  \n",
       "6                  5         10           2018-01  \n",
       "13                 5          8           2018-01  \n",
       "15                 5          7           2018-01  \n",
       "...              ...        ...               ...  \n",
       "180505             5         13           2016-01  \n",
       "180508             5          7           2016-01  \n",
       "180511             5          6           2016-01  \n",
       "180512             5          6           2016-01  \n",
       "180515             5          1           2016-01  \n",
       "\n",
       "[69295 rows x 59 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pay_type1 = data[data['Type']=='DEBIT']\n",
    "pay_type2 = data[data['Type']=='TRANSFER']\n",
    "pay_type3 = data[data['Type']=='PAYMENT']\n",
    "pay_type4 = data[data['Type']=='CASH']\n",
    "pay_type1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:28.179326Z",
     "start_time": "2020-11-14T07:44:28.112322Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Central America': (10804, 8047, 6349, 3141),\n",
       " 'Western Europe': (10362, 7457, 6466, 2824),\n",
       " 'South America': (5536, 4236, 3519, 1644),\n",
       " 'Oceania': (3985, 2644, 2406, 1113),\n",
       " 'Northern Europe': (3807, 2645, 2291, 1049),\n",
       " 'Southern Europe': (3656, 2540, 2116, 1119),\n",
       " 'Southeast Asia': (3567, 2622, 2320, 1030),\n",
       " 'West of USA ': (3187, 2249, 1686, 871),\n",
       " 'Caribbean': (3101, 2424, 1874, 919),\n",
       " 'South Asia': (3009, 2097, 1834, 791),\n",
       " 'East of USA': (2776, 1818, 1491, 830),\n",
       " 'Eastern Asia': (2634, 2058, 1788, 800),\n",
       " 'US Center ': (2317, 1581, 1374, 615),\n",
       " 'West Asia': (2306, 1636, 1450, 617),\n",
       " 'Eastern Europe': (1577, 1043, 844, 456),\n",
       " 'South of  USA ': (1525, 1142, 966, 412),\n",
       " 'West Africa': (1502, 993, 797, 404),\n",
       " 'North Africa': (1235, 950, 753, 294),\n",
       " 'East Africa': (737, 488, 468, 159),\n",
       " 'Central Africa': (659, 472, 346, 200),\n",
       " 'Southern Africa': (485, 293, 263, 116),\n",
       " 'Canada': (311, 313, 205, 130),\n",
       " 'Central Asia': (217, 135, 119, 82)}"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#获取4中支付方式中不同地区的特点\n",
    "\n",
    "#每种支付类型按地区的统计\n",
    "count1 = pay_type1['Order Region'].value_counts()\n",
    "count2 = pay_type2['Order Region'].value_counts()\n",
    "count3 = pay_type3['Order Region'].value_counts()\n",
    "count4 = pay_type4['Order Region'].value_counts()\n",
    "\n",
    "dict1 = count1.to_dict()\n",
    "dict2 = count2.to_dict()\n",
    "dict3 = count3.to_dict()\n",
    "dict4 = count4.to_dict()\n",
    "\n",
    "#统一到一个key里，key为地区\n",
    "dict_count = {k:(dict1[k],dict2[k],dict3[k],dict4[k]) for k in dict1.keys()}\n",
    "dict_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:28.191326Z",
     "start_time": "2020-11-14T07:44:28.184326Z"
    }
   },
   "outputs": [],
   "source": [
    "#将数据按key(地区)追加到list里\n",
    "count_1=[]\n",
    "count_2=[]\n",
    "count_3=[]\n",
    "count_4=[]\n",
    "for k,v in dict_count.items():\n",
    "    count_1.append(v[0])\n",
    "    count_2.append(v[1])\n",
    "    count_3.append(v[2])\n",
    "    count_4.append(v[3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:29.322391Z",
     "start_time": "2020-11-14T07:44:28.195327Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region_num = len(count1)\n",
    "index=np.arange(region_num)\n",
    "\n",
    "fig,aix = plt.subplots(figsize=(20,8))\n",
    "plt.bar(index, count_1,width=0.2,color='r', label='DEBIT')\n",
    "plt.bar(index+0.2, count_2,width=0.2,color='g', label='TRANSFER')\n",
    "plt.bar(index+0.4, count_3,width=0.2,color='b', label='PAYMENT')\n",
    "plt.bar(index+0.6, count_4,width=0.2,color='orange', label='CASH')\n",
    "\n",
    "plt.xlabel('Order Regions')\n",
    "plt.ylabel('Number of Payment')\n",
    "plt.title('Type of payments in all regions')\n",
    "plt.legend()\n",
    "\n",
    "#显示刻度\n",
    "plt.xticks(index+0.2, dict_count.keys(), rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T01:47:58.810113Z",
     "start_time": "2020-11-14T01:47:58.720108Z"
    }
   },
   "source": [
    "{'Central America': (10804, 8047, 6349, 3141),\n",
    " 'Western Europe': (10362, 7457, 6466, 2824),\n",
    " 'South America': (5536, 4236, 3519, 1644),\n",
    " 'Oceania': (3985, 2644, 2406, 1113),\n",
    " 'Northern Europe': (3807, 2645, 2291, 1049),\n",
    " 'Southern Europe': (3656, 2540, 2116, 1119),\n",
    " 'Southeast Asia': (3567, 2622, 2320, 1030),\n",
    " 'West of USA ': (3187, 2249, 1686, 871),\n",
    " 'Caribbean': (3101, 2424, 1874, 919),\n",
    " 'South Asia': (3009, 2097, 1834, 791),\n",
    " 'East of USA': (2776, 1818, 1491, 830),\n",
    " 'Eastern Asia': (2634, 2058, 1788, 800),\n",
    " 'US Center ': (2317, 1581, 1374, 615),\n",
    " 'West Asia': (2306, 1636, 1450, 617),\n",
    " 'Eastern Europe': (1577, 1043, 844, 456),\n",
    " 'South of  USA ': (1525, 1142, 966, 412),\n",
    " 'West Africa': (1502, 993, 797, 404),\n",
    " 'North Africa': (1235, 950, 753, 294),\n",
    " 'East Africa': (737, 488, 468, 159),\n",
    " 'Central Africa': (659, 472, 346, 200),\n",
    " 'Southern Africa': (485, 293, 263, 116),\n",
    " 'Canada': (311, 313, 205, 130),\n",
    " 'Central Asia': (217, 135, 119, 82)}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T02:34:52.236516Z",
     "start_time": "2020-11-14T02:34:52.229515Z"
    }
   },
   "source": [
    "#DEBT(借记卡)是所有地区使用最多的方式\n",
    "#CASH(现金)是所有地区使用最少的方式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:29.587406Z",
     "start_time": "2020-11-14T07:44:29.328391Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Days for shipping (real)</th>\n",
       "      <th>Days for shipment (scheduled)</th>\n",
       "      <th>Benefit per order</th>\n",
       "      <th>Sales per customer</th>\n",
       "      <th>Delivery Status</th>\n",
       "      <th>Late_delivery_risk</th>\n",
       "      <th>Category Id</th>\n",
       "      <th>Category Name</th>\n",
       "      <th>Customer City</th>\n",
       "      <th>...</th>\n",
       "      <th>Product Price</th>\n",
       "      <th>Product Status</th>\n",
       "      <th>shipping date (DateOrders)</th>\n",
       "      <th>Shipping Mode</th>\n",
       "      <th>Customer Full Name</th>\n",
       "      <th>order_year</th>\n",
       "      <th>order_month</th>\n",
       "      <th>order_weekday</th>\n",
       "      <th>order_hour</th>\n",
       "      <th>order_month_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TRANSFER</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>-249.089996</td>\n",
       "      <td>311.359985</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/18/2018 12:27</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>IreneLuna</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>-247.779999</td>\n",
       "      <td>309.720001</td>\n",
       "      <td>Shipping on time</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>San Jose</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/17/2018 12:06</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>GillianMaldonado</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>-259.579987</td>\n",
       "      <td>324.470001</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/15/2018 7:33</td>\n",
       "      <td>First Class</td>\n",
       "      <td>SadeLancaster</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>-246.360001</td>\n",
       "      <td>321.200012</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Canovanas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/18/2018 7:12</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>BrynneGiles</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>-17.139999</td>\n",
       "      <td>272.029999</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Roseville</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/16/2018 3:00</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>EvelynKelly</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180495</th>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>-239.990006</td>\n",
       "      <td>299.989990</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Roswell</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/19/2016 22:35</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>JohnStewart</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>22</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180498</th>\n",
       "      <td>CASH</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>-337.100006</td>\n",
       "      <td>391.980011</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Lindenhurst</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/19/2016 19:05</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>MaryGould</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180499</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>-258.779999</td>\n",
       "      <td>387.980011</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/20/2016 17:41</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>AngelaMassey</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>17</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180506</th>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>-65.470001</td>\n",
       "      <td>351.980011</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>San Antonio</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/18/2016 11:01</td>\n",
       "      <td>First Class</td>\n",
       "      <td>LarrySmith</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180515</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>-613.770019</td>\n",
       "      <td>395.980011</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Bakersfield</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/19/2016 1:34</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>RonaldClark</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>33784 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Type  Days for shipping (real)  Days for shipment (scheduled)  \\\n",
       "1       TRANSFER                         5                              4   \n",
       "2           CASH                         4                              4   \n",
       "15         DEBIT                         2                              1   \n",
       "16       PAYMENT                         5                              2   \n",
       "28         DEBIT                         3                              4   \n",
       "...          ...                       ...                            ...   \n",
       "180495   PAYMENT                         3                              4   \n",
       "180498      CASH                         3                              4   \n",
       "180499     DEBIT                         4                              2   \n",
       "180506   PAYMENT                         2                              1   \n",
       "180515     DEBIT                         3                              2   \n",
       "\n",
       "        Benefit per order  Sales per customer   Delivery Status  \\\n",
       "1             -249.089996          311.359985     Late delivery   \n",
       "2             -247.779999          309.720001  Shipping on time   \n",
       "15            -259.579987          324.470001     Late delivery   \n",
       "16            -246.360001          321.200012     Late delivery   \n",
       "28             -17.139999          272.029999  Advance shipping   \n",
       "...                   ...                 ...               ...   \n",
       "180495        -239.990006          299.989990  Advance shipping   \n",
       "180498        -337.100006          391.980011  Advance shipping   \n",
       "180499        -258.779999          387.980011     Late delivery   \n",
       "180506         -65.470001          351.980011     Late delivery   \n",
       "180515        -613.770019          395.980011     Late delivery   \n",
       "\n",
       "        Late_delivery_risk  Category Id   Category Name Customer City  ...  \\\n",
       "1                        1           73  Sporting Goods        Caguas  ...   \n",
       "2                        0           73  Sporting Goods      San Jose  ...   \n",
       "15                       1           73  Sporting Goods        Caguas  ...   \n",
       "16                       1           73  Sporting Goods     Canovanas  ...   \n",
       "28                       0           73  Sporting Goods     Roseville  ...   \n",
       "...                    ...          ...             ...           ...  ...   \n",
       "180495                   0           45         Fishing       Roswell  ...   \n",
       "180498                   0           45         Fishing   Lindenhurst  ...   \n",
       "180499                   1           45         Fishing        Caguas  ...   \n",
       "180506                   1           45         Fishing   San Antonio  ...   \n",
       "180515                   1           45         Fishing   Bakersfield  ...   \n",
       "\n",
       "       Product Price Product Status shipping date (DateOrders)  \\\n",
       "1         327.750000              0            1/18/2018 12:27   \n",
       "2         327.750000              0            1/17/2018 12:06   \n",
       "15        327.750000              0             1/15/2018 7:33   \n",
       "16        327.750000              0             1/18/2018 7:12   \n",
       "28        327.750000              0             1/16/2018 3:00   \n",
       "...              ...            ...                        ...   \n",
       "180495    399.980011              0            1/19/2016 22:35   \n",
       "180498    399.980011              0            1/19/2016 19:05   \n",
       "180499    399.980011              0            1/20/2016 17:41   \n",
       "180506    399.980011              0            1/18/2016 11:01   \n",
       "180515    399.980011              0             1/19/2016 1:34   \n",
       "\n",
       "         Shipping Mode Customer Full Name order_year order_month  \\\n",
       "1       Standard Class          IreneLuna       2018           1   \n",
       "2       Standard Class   GillianMaldonado       2018           1   \n",
       "15         First Class      SadeLancaster       2018           1   \n",
       "16        Second Class        BrynneGiles       2018           1   \n",
       "28      Standard Class        EvelynKelly       2018           1   \n",
       "...                ...                ...        ...         ...   \n",
       "180495  Standard Class        JohnStewart       2016           1   \n",
       "180498  Standard Class          MaryGould       2016           1   \n",
       "180499    Second Class       AngelaMassey       2016           1   \n",
       "180506     First Class         LarrySmith       2016           1   \n",
       "180515    Second Class        RonaldClark       2016           1   \n",
       "\n",
       "       order_weekday order_hour  order_month_year  \n",
       "1                  5         12           2018-01  \n",
       "2                  5         12           2018-01  \n",
       "15                 5          7           2018-01  \n",
       "16                 5          7           2018-01  \n",
       "28                 5          3           2018-01  \n",
       "...              ...        ...               ...  \n",
       "180495             5         22           2016-01  \n",
       "180498             5         19           2016-01  \n",
       "180499             5         17           2016-01  \n",
       "180506             5         11           2016-01  \n",
       "180515             5          1           2016-01  \n",
       "\n",
       "[33784 rows x 59 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#对于欺诈订单进行预测\n",
    "#对于迟交货订单进行预测\n",
    "loss = data[data['Benefit per order']<0]\n",
    "loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:30.222443Z",
     "start_time": "2020-11-14T07:44:29.591407Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x28117da0>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#显示top10的负收益产品\n",
    "loss['Category Name'].value_counts().nlargest(10).plot.bar(figsize=(20,10), title='Product with most loss')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:31.065491Z",
     "start_time": "2020-11-14T07:44:30.230443Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x28372a58>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#显示top10的负收益地区\n",
    "loss['Order Region'].value_counts().nlargest(10).plot.bar(figsize=(20,10), title='Product with most loss')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:31.092492Z",
     "start_time": "2020-11-14T07:44:31.072491Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "所有负收益产品带来的损失： -3883547.345768667\n"
     ]
    }
   ],
   "source": [
    "#所有负收益产品带来的损失\n",
    "print( '所有负收益产品带来的损失：', loss['Benefit per order'].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:31.197498Z",
     "start_time": "2020-11-14T07:44:31.102493Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "COMPLETE           59491\n",
       "PENDING_PAYMENT    39832\n",
       "PROCESSING         21902\n",
       "PENDING            20227\n",
       "CLOSED             19616\n",
       "ON_HOLD             9804\n",
       "SUSPECTED_FRAUD     4062\n",
       "CANCELED            3692\n",
       "PAYMENT_REVIEW      1893\n",
       "Name: Order Status, dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Order Status'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:31.273503Z",
     "start_time": "2020-11-14T07:44:31.208499Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TRANSFER    4062\n",
       "Name: Type, dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#负收益，可能是欺诈交易，来自哪种支付方式\n",
    "data[data['Order Status']=='SUSPECTED_FRAUD']['Type'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "TRANSFER容易导致欺诈交易"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:32.242558Z",
     "start_time": "2020-11-14T07:44:31.278503Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x28b1e8d0>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#显示不同地区的欺诈交易情况\n",
    "high_fraud = data[data['Order Status']=='SUSPECTED_FRAUD']\n",
    "high_fraud['Order Region'].value_counts().plot.bar(figsize=(20,10), title='Regions with Highest Fraud')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:33.719643Z",
     "start_time": "2020-11-14T07:44:32.248558Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x29489f98>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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V49bzCQAAAACwPEvpIXRDkl/r7v8nyUOSPLOqjklyWpKzu/voJGeP2xn3nZDkPkken+QVVbX/ehQPAAAAwPLtMRDq7qu6+9zx9rVJLkxyWJLjkmwdD9ua5Pjx9nFJ3tzd13X355NckuTBa104AAAAACuzrDmEqurIJMcm+ViSg7v7qmQIjZLceTzssCSXLzrtirFtx/s6paq2VdW27du3L79yAAAAAFZkyYFQVX1fkrcnObW7v767Q3fS1jdr6D69u7d095bNmzcvtQwAAAAAVmlJgVBV3SJDGPSG7n7H2Pylqjpk3H9IkqvH9iuSHLHo9MOTXLk25QIAAACwWktZZaySvCbJhd39skW7zkxy0nj7pCTvWtR+QlXdqqqOSnJ0ko+vXckAAAAArMamJRzz8CQ/neQzVXXe2PbcJC9JckZVnZzksiRPS5LuPr+qzkhyQYYVyp7Z3d9Z88oBAAAAWJE9BkLd/ZHsfF6gJHnMLs55UZIXraIuAAAAANbJslYZAwAAAGD+CYQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmJg9BkJV9SdVdXVVfXZR24FVdVZVXTxe33HRvudU1SVVdVFVPW69CgcAAABgZZbSQ+h1SR6/Q9tpSc7u7qOTnD1up6qOSXJCkvuM57yiqvZfs2oBAAAAWLU9BkLd/ddJrtmh+bgkW8fbW5Mcv6j9zd19XXd/PsklSR68RrUCAAAAsAZWOofQwd19VZKM13ce2w9Lcvmi464Y226mqk6pqm1VtW379u0rLAMAAACA5VrrSaVrJ229swO7+/Tu3tLdWzZv3rzGZQAAAACwKysNhL5UVYckyXh99dh+RZIjFh13eJIrV14eAAAAAGttpYHQmUlOGm+flORdi9pPqKpbVdVRSY5O8vHVlQgAAADAWtq0pwOq6k1JHpnkoKq6IsnzkrwkyRlVdXKSy5I8LUm6+/yqOiPJBUluSPLM7v7OOtUOAAAAwArsMRDq7mfsYtdjdnH8i5K8aDVFAQAAALB+1npSaQAAAAA2OIEQAAAAwMTsccgYAAAAwN5SNesK1k/3rCu4kR5CAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiVm3QKiqHl9VF1XVJVV12no9DgAAAADLsy6BUFXtn+R/JXlCkmOSPKOqjlmPxwIAAABgedarh9CDk1zS3Z/r7m8neXOS49bpsQAAAABYhk3rdL+HJbl80fYVSX5w8QFVdUqSU8bNf66qi9aplo3goCRf3lsPVrW3HmkyvH7zy2s337x+822vvX5euzXn39588/rNL6/dfPP6zbd9+XPL3Xa1Y70CoZ09xb7JRvfpSU5fp8ffUKpqW3dvmXUdrIzXb3557eab12++ef3ml9duvnn95pfXbr55/ebbVF+/9RoydkWSIxZtH57kynV6LAAAAACWYb0CoU8kObqqjqqqWyY5IcmZ6/RYAAAAACzDugwZ6+4bquo/JfmrJPsn+ZPuPn89HmtOTGJo3D7M6ze/vHbzzes337x+88trN9+8fvPLazffvH7zbZKvX3X3no8CAAAAYJ+xXkPGAAAAANigBEIAAAAAEyMQgkVqcMSejwTWU1XtV1UHzLoOAFgvVfXwpbSxMVXVUUtpg43MHEKwg6o6p7sfOOs6WLqqOnB3+7v7mr1VCytXVW9M8ktJvpPknCTfn+Rl3f0/ZloY7OOq6llJXpvk2iSvTnJsktO6+30zLYwlqapf3Unz15Kc093n7e16WLqqOre7H7CnNjamXbx+vkcwV9ZllTG+l+6f193fqKoTkzwgycu7+wszLo09+7uqelB3f2LWhbBk5yTpJLWTfZ3k7nu3HFbomO7+elX9VJK/SPLsDK+tQGhOVNXOvsR8LckXuvuGvV0PS/bvu/vlVfW4JJuT/FyGgEggNB+2jJd3j9s/luQTSX6pqt7a3b8zs8rYqap6aJKHJdm8Q6B3QIYVmtnAqureSe6T5Pur6qmLdh2Q5NazqYqVqKrfSfLCJN9M8t4k90tyane/fqaF7UUCofXzR0nuV1X3S/LrSV6T5E+T/PBMq2IpHpXkF6vqC0m+kSFk6O7+gdmWxa50t+65+4ZbVNUtkhyf5A+7+/qq0o11vrwiww8gn87w3nnf8fadquqX9DjZsBbC9CcmeW13f6qqdhawszHdKckDuvufk6SqnpfkbUkekSFUFwhtPLdM8n0ZvovdflH715P8xEwqYjnuleRJSe6Q5MmL2q9N8gszqYiV+tHu/vWq+vEkVyR5WpIPJhEIsWo3dHdX1XEZega9pqpOmnVRLMkTZl0AKzN+gfmpJEd1929V1V2T3KW7Pz7j0liaP05yaZJPJfnrqrpbhg/HzI9Lk5zc3ecnSVUdk+S/JvmtJO+IHicb1TlV9b4kRyV5TlXdPsl3Z1wTS3fXJN9etH19krt19zer6roZ1cRudPeHk3y4ql5n9MD86e53VdV7kjy7u3971vWwKrcYr5+Y5E3dfc3Ufg8RCK2fa6vqOUlOTPKIqto/N/4Pxwa28Ie5qu4c3T7nzSsyfIl5dIYvoNcmeXuSB82yKJamu/8gyR8savpCVT1qVvWwIvdeCIOSpLsvqKpju/tzU/uANWdOTnL/JJ/r7n+pqjtlGDbGfHhjhuHu7xq3n5zkTVV1uyQXzK4sluBWVXV6kiOz6HtZdz96ZhWxJN39nap6bBKB0Hx7d1X9fYYhY/+xqjYn+daMa9qrTCq9TqrqLkn+XZJPdPffjD0VHtndfzrj0tiDqnpKkpcmOTTJ1UnuluTC7r7PTAtjjxYm96uqT3b3sWPbp7r7frOujT2rqoMzfLA6tLufMPYueWh3v2bGpbFEVfWWJNckefPY9PQkByX56SQf6W7h7AZUVWd392P21MbGVVVbkjw8w/C/j3T3thmXxBJU1aeSvDLD0L7vLLR39zkzK4olq6oXZVgA4y0ZpplIknT3uTMrimWrqjsm+foY8t0uye27+x9nXdfeoofQ+vnP3f3shY3uvqyqBArz4beSPCTJ+7v72LGHwjNmXBNLc/3YG6+TZEz5DXuYH6/LMJHtfxu3/yHDhyyB0Pz42ST/McmpGb+YJvkvGYaw6O21wVTVrZPcNslB4wfihW5cB2T4UYT58ckkV2b8bF9Vd+3uy2ZbEktwQ3f/0ayLYMUeNl7/5qK2ztBTnTlQVc9M8obuXghkb5nkqRlGHUyCHkLrZBfLEH7axMQbX1Vt6+4t4682x3b3d6vq49394FnXxu6Nq1M9PcOktlszTMz4/3b3W2daGEtSVZ/o7gft0MPrvO6+/6xrg33RuNz8qRnCny/mxkDo60le1d1/OKvaWLqq+uUkz0vypQy9TCyGMSeq6vkZeqO/M8n35nvq7mtmVRNMyc4+Zy7+HDoFegitsar6Dxl+Hb17VX160a7bJ/nb2VTFMv1TVX1fkr9J8oaqujqJ5ZI3uKraL8nnM6zq95gMH4iP7+4LZ1oYy/GNce6ShR5eD8mwZDlzoqoenuT5GYbaLp4P4+6zqoldG5ea/8Mkz+3u35p1PazYs5Lcq7u/MutCWLaFBWf+66K2TuI9cw5U1fdnCGMfMTZ9OMlvdrfPLvNjv6qqHnvJjCMNbjnjmvYqPYTW2PjGcMckL05y2qJd10r758M4dvSbSfbLsGLV92foSuiD1gZXVR/t7ofOug5WpqoekOR/Zliq/LNJNif5ie7+9G5PZMMYJ2b8z7n5fBjePzcw753zrao+mOSx3e3HK9iLqurtGT6vbB2bfjrJ/br7qbOriuWoqv+RYVL3V2YIY38pyeXd/WuzrGtvEgitsx1XqjKeez6My10f3d3vr6rbJtm/u6+ddV3sXlW9IMmnk7yjvbnNparalOReGXp4XdTd18+4JJahqj7W3T846zpYHu+d862qXpPhffN/56bDjl42s6JYkvEz5q8muWt3n1JVR2fo7fWeGZfGEuxiuJGh7nNkHGHwi7lxdMH7krx60ZxC+zyB0DqpqicneVmsVDV3quoXkpyS5MDuvsf4x/mVVlvZ+Krq2iS3yzDE71u5cR6FA2ZaGEsydtP9sdx8+V1fauZEVb0kyf5J3pGbfjG14soGtui98zsZesh675wjVfW8nbV39wv2di0sz7gy4zlJfqa771tVt0nyUYHCfKiqjyb5r939kXH74Ul+V49L5ok5hNbPC2Olqnn1zCQPTvKxJOnui8eeXmxw3X37WdfAqrw7Q5D3mVgdbl4t9A7asqjNiisbnPfO+Sb4mWv36O6nV9UzkqS7v1lVtaeT2DD+Q5Kt45QhleSa3DgvFBtYVZ3R3T9ZVZ/JOHflYlOalF8gtH6u7+6vVNV+VbVfd3+wqv77rItiSa7r7m8v/D0eh7DoSjcnxqWTj85Nh2r+9ewqYhkOn9If4H1Rd1tafk5V1VNy48SoHzJkZeOrqt/v7lOr6t3Z+Reap8ygLJbn22OvoIUJbe+RRb0r2di6+7wk96uqA8btr8+4JJbuWeP1k2ZaxQYgEFo/VqqaXx+uqucmuU1VPTbDqnHvnnFNLEFV/XyGN/jDk5yXoZfeR6N3wrz4y6r60e5+36wLYXmq6sTufn1V/erO9hv2t7GNQ/0elOQNY9OzquqHuvu03ZzG7P3ZeP27M62C1XhekvcmOaKq3pDk4Ul+dqYVsWTjyqjPS/JDSbqqPpJhlTELKWxw3X3VeP2FWdcya+YQWidWqppf4+RiJyf50QzdP/8qw+Ri/rFscGO3zwcl+bvuvn9V3TvJC7r76TMujSWoqh9P8voM75vXxzwmc6OqfrG7/3ie5jKpqtcluaK7/99Z1zJrVfXpJPfv7u+O2/sn+aQee/Ohqh7Y3efs0Pbk7vZj1hwYQ4WHZPib93fd/eUZl8QSVdVZSf46w2eXZPjO98ju/pHZVcVyVNVTk/z3JHfO8G9wcp89BULryEpV86mqHp3hD/K/zLoWlqeqPtHdD6qq85L8YHdfZ7WH+VFVn0tyfJLPCGCno6ouTXJwFi1Tn+Se3X3lOj/u67KbQKiqDskwH+ATk3xfki8meUuS3+nub+zhvp+f5F9194lrWfN6GQOhR3b3NeP2gRmGjQmE5kBVnZvkpO7+zLj9jCSnWvFvPlTVD+Tmiym8Y2YFsWRVdU53P3CHtm3dvWVX57CxVNUlSZ7c3RfOupZZMWRsnSxeqSrJPZIcluSVGZa0Y2P72SSvrKqvZBjy9zdJPtLdX51pVSzFFVV1hyR/nuSsqvpqknX9UsmaujjJZ4VB86uqNif5hdz8y82/38OpT+7u9+/mfjd1914bdj0GIh9N8rdJHtrdl1bVEUn+S4a/6Z/eW7Us1wr/W704ySer6oMZfh19RJLnrHlxrJefSPK2qvqpDENXfiZDL2c2uKr6kyQ/kOT83LiYQmdYqZGN74NVdUKSM8btn0jyv2dYD8v3pSmHQYkeQutm7KHw4CQf6+5jx7bPdPe/nm1lLFVVHZrhjf2/JDm0uwWoc6SqfjjDUM33dve3Z10Pezb22Lh7kr/MTZcsN//MnKiqv80Qop+TRT1+uvvtuznn0iQ/v2MgVFWd5D8lOTXJpu4+qqpenuSpGf5tX5yhF8TfjMe/Lot6/FTVI5O8vrsPH7ePTfKaDJPO/0WGL12X7KyHUFW9MMlxSe63MIxqJ8fstJaqenySMzMEK9cl+b/dfb9xFZqXZehx9N0kr03yvO7+zjhE63cyrE5zbZKXJvmfSW7R3TeMf49emeHL/jVJ/nt3v2qs46Dk//sAACAASURBVPlJ7pthhb6njPfz3CRHLAxTr6oHZpin5NDuvn4Xz+eQDENuk+Tj3f2POzuOjamq7pnhx5DLkxzf3d+ccUksQVVd0N3HzLoOVqaqrk1yu9wY5u2XZKEH6aSGHc2r8W/5XTK8fy7+7DmZUNYX3PVjpao5VVUnJvk3Sf51ki8n+cMMX3CYA1X1gIyT+yX5P8KgufL58XLL8cL8uW13P3sN7+/4DEvZL3y5/USS30zytQwTyL+1qo7s7m/t7k6q6pYZPuz9fob39OOSvCnDvAE78yNJ3rGrMGgPtby3qn47Nx8ytjXJl5L8qwxfIN6T4cv7H2foVfWEJPfP8GXirTs81psy9CA4NMm9M/SA/Fx3nz3uPy7J0zL0DLlVkocl+ckkfzTuPzHJm3cVBo0emhvfO/dP8s7dHMsGsJPlkg/M8Np9rKomtWzyHPtoVR3T3RfMuhCWr7tvP+saWLUDkvxLbtqrclK99PQQWidV9TtJ/inDh7NfzrBS1QXd/d9mWhh7VFVfTvJ/M/wa+8HuvnS2FbFUVfUbGb4ULbyJH5/krd39wtlVBdMx9qz52+7+i2Wcc2mSg3LjSpwf6u7jxx5Cj+nuD+zm3K9mmPvmU7vrIVRVj0jy5iSHLQxJHHszfWAXPYQuTvLS7n7lMp7H4lqen0WBUFUdnOSyJHdY6LkxzvNySnc/qqo+kOQt3f3H474fSXJWklskOSTJpeO51477X5zkkO7+2fGxHt3dj1hUy9OT/Ep3P3zsffTFJE/p7o/vovZXZAiq3jQ2PT1Dz6ZnLvX5s/eNc1XuktVzNr7xvendSf4xQ++EhQlthXkb2Phv75+6+2vj9qMyfOa8NMn/8mMk80QPofVzWoaVqj6T5BczdE9/9UwrYkm6+6Cquk+GORReVFVHJ7mou396xqWxZ89IcuxCb4FxKeVzM0wMywY3zj/z60nuk+TWC+3d/eiZFcWSjN3mO8OXmedW1XVZ3kpxx+9iDqHLd3icX0vy8xl6ynSGX/YOWkKJhyb54g7zU+3uy/JXMgQxu7TMWu6WIdy5aqHncIahBQvP79Dc9Lkuvn1okmt2WJTiC0m27OL4JHlXhrnw7p7knkm+tqswaPTDSe67KCzbmuHzCxvbV7v76+OcV8ynP0ny0xn+ve2uRyIbyxlJfjzJ16rq/hl6db44Qy/PV2T428AcqKrDMwzRfniGv+UfSfKs7r5ipoXtRQKhdTJ2M3/VeGGOVNUBSe6a4QP8kRnmh9CVbj5cmiFIWBg+cqsMvb2YD2/IsIrTk5L8Uob5VLbPtCKWZB27zX/vvbeq/k2SZ2dYnOH87v7u2CtnIWH5RpLbLjr3LotuX5XksKqqRaHQXbPr94f3J/nxqnrBzoaNLaGWHf9mXJ7h1/+DdjHh81VJDl+0fcSi21cmObCqbr8oFLprhl4/C27yeN39rao6I8MSyPdO8me7eJ4LLhrvcyEkOyIbeOJsvueNGd4vz8mNgeyCzjAnGxvbZd195qyLYNlus2glzBOT/El3v7Sq9kty3gzrYvlem+G99Gnj9olj22NnVtFett+sC9jXVNVnqurTu7rMuj6W5CNJnpzhw/DTu/te3f0zM66JpbkuyflV9bqqem2Szyb556r6g6r6gxnXxp7dqbtfk+T67v7wuDLVQ2ZdFEtXVQ+vqtuNt0+sqpdV1V3X6O5vn2FY2fYkm8Yhoot7Hp2X5IlVdWBV3SXDZNQLPjqe+ytVtamqnpph4Yddedl431sXhuVU1WHj8/mBJdTypSRHjl8O0t1XJXlfkpdW1QFVtV9V3WOc/D4Zfm1+1vgYd8gQNmU89/IMq529uKpuPT7+yRkC1N350wyrZj4lyev3cOydklxYVR+qqg8luSDJ5qo6s6p8Wd2guvtJ4/VR3X338XrhIgyaD39fVW+sqmdU1VMXLrMuij1aHL4+OsnZyfc6BDBfNnf3a7v7hvHyuiSbZ13U3qSH0Np7apKDc/Pu23eL5a/nxQu7+4zFDVX1tO7ecZJPNp535qYToX5oRnWwMgsT3l5VVT+W4T3z8N0cz8bzR0nuV1X3yzD87zUZeqf88G7PWpq/yrAC3T9k6A30e7np39o/yzAZ9KXj5bVJfi1JxkUenpqh1+4LMwzj3uWEkd19TVU9bDz2Y2PI9cUMc+xckmGC593V8tYMvzJ+pao+390PyDCn4EsyhC23T/K53Dip9asyDO36dJKvJ/mDJI/MjSu1PSPDvHZXJvlqhtXJztrdf6zu/j9V9d0k5y5hLrzf2MN+NqBxEYVd6u5z91YtrNhtMvyYNdkJbefUB8ZemFcluWOSDyTfW63R/EHz5cvjgkILc+g9I8Ow8ckwqfQaq6r3JHlud396h/YtGT7APXk2lbFUVXXu+OF9t21sTONqQvfO8IHqIhP7zY+qelKGFf2OyDCe+4AkL9Cdfn4svFeOPWa+2N2v8f65fFX1hCSv7O7dThq8hPv5QJI3dveS5jCsqjtlmD/vsu4+ZzWPzfqrqg8u2nxghqFjC9r8a7A+apgM7ukZ5po7o7u/OLYfm+TO3f1Xs6yPpRt7Mf9hhpU2O0OP3GdNaVJ+gdAaq6rPdvd9d7HvM939r/d2TSzN+AH8iRmW6n3Lol0HJDmmu3c3vIANoKqemGEJ5/+boTvvUUl+sbv/cqaFwURU1YeTvDfJz2UIFrYnOc/fvt2rqtskeVSGYWUHJ3l7kr/r7lN3e+Lu7/NBGVYqO2KHCakXH/OeJKd192fHX7bPTbItyT2SnN7dv7/Sx2fvqqpPdvexs66D5Rknfn95huHRnWF466nd/fmZFgYTMK7CuXVhRdCpMofQ2rv1bvbdZq9VwUpcmeGD8Lcy/Mq2cDkzyeNmWBdL97Ikj+ruR3b3D2f4gvV7M66JPaiq+1TVUxZt/15V/cl40bNkvjw9w/CHk7v7H5McluR/zLakuVBJXpBhONgnk1yYVQzjGlcJe3+GL5Y7DYNGR3X3Z8fbP5fkrLEn8w8m+fcrfXxmwi+88+mNGeYQOyTDioJvTfLmmVYEE9Hd38kwX94tZ13LLOkhtMaq6k1JPtDdr9qh/eQkP9rdT59NZSxVVd0iw4fze45NF3X39bs5hQ2iqv66ux+xaLuSfHhxGxtPVb07yYu7+2/H7QuS/H8ZVoz6t919/Czrg31VVZ3X3fcfb5+d5FXd/eYd97HxGZo5n6rqY939gzu0/V13W1AB9oKq+uMkD8jQAeAbC+3d/bKZFbWXmVR67Z2a5J1V9VO5cSz3liS3TPLjM6uK5XhYhtVZLs0QDB1RVSd191/PtCqW4vyq+osMv7Z1hiUkP7GwYkd3m6RxYzpkIQwafb27354kVfWLM6qJZaiqj3T3D1XVtblpT4XKMJfJAbs4ldm6vKp+OckVGT4Qvzf53hC2W8yyMPasqv5nbvz3dviOq2l296/s/apYpg9W1WkZegV1hl6W/7uqDkyGCe5nWRy7N859+BdWF5trV46X/TIs+JBMrMelHkLrpKoelWRhLqHzu/sDs6yHpauqc5L8u+6+aNy+Z5I3dfcDZ1sZezIuNb8rPS5jzgZTVRd19712se8fuvueO9vHxlFVd5vSBIz7iqq6c5LfzDBc5X919/vG9kcleWB3/+4s62P3quqk3e3v7q17qxZWpqp2N1dQd/fd91oxLFtVvT7DZMRvT/La7r5wxiWxTDtbSXpqq0tviEDooIMO6iOPPHLWZQAAAADsM84555wvd/fmne3bEEPGjjzyyGzbtm3WZQAAAADsM6pql724rTIGAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxGyadQEzUTXrCtZX96wrAAAAADYwPYQAAAAAJkYgBAAAADAxAiEAAACAiZnmHELMN3NAAQAAwKroIQQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDEbJp1AcCEVM26gvXVPesKAAAAlkQPIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJiYVQVCVfWfq+r8qvpsVb2pqm5dVQdW1VlVdfF4fce1KhYAAACA1VtxIFRVhyX5lSRbuvu+SfZPckKS05Kc3d1HJzl73AYAAABgg1jtkLFNSW5TVZuS3DbJlUmOS7J13L81yfGrfAwAAAAA1tCKA6Hu/mKS301yWZKrknytu9+X5ODuvmo85qokd97Z+VV1SlVtq6pt27dvX2kZAAAAACzTaoaM3TFDb6Cjkhya5HZVdeJSz+/u07t7S3dv2bx580rLAAAAAGCZVjNk7EeSfL67t3f39UnekeRhSb5UVYckyXh99erLBAAAAGCtrCYQuizJQ6rqtlVVSR6T5MIkZyY5aTzmpCTvWl2JAAAAAKylTSs9sbs/VlVvS3JukhuSfDLJ6Um+L8kZVXVyhtDoaWtRKAAAAABrY8WBUJJ09/OSPG+H5usy9BYCAAAAYANa7bLzAAAAAMwZgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAidk06wIAmBNVs65gfXXPugIAANhr9BACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAibHKGABMwb68SpwV4gAAlk0PIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGI2zboAAAB2o2rWFayv7llXAACTpIcQAAAAwMSsKhCqqjtU1duq6u+r6sKqemhVHVhVZ1XVxeP1HdeqWAAAAABWb7U9hF6e5L3dfe8k90tyYZLTkpzd3UcnOXvcBgAAAGCDWHEgVFUHJHlEktckSXd/u7v/KclxSbaOh21NcvxqiwQAAABg7aymh9Ddk2xP8tqq+mRVvbqqbpfk4O6+KknG6zvv7OSqOqWqtlXVtu3bt6+iDAAAAACWYzWB0KYkD0jyR919bJJvZBnDw7r79O7e0t1bNm/evIoyAAAAAFiO1QRCVyS5ors/Nm6/LUNA9KWqOiRJxuurV1ciAAAAAGtpxYFQd/9jksur6l5j02OSXJDkzCQnjW0nJXnXqioEAAAAYE1tWuX5v5zkDVV1yySfS/JzGUKmM6rq5CSXJXnaKh8DAAAAgDW0qkCou89LsmUnux6zmvsFAAAAYP2sZg4hAAAAAOaQQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmZlXLzgMAALtRNesK1lf3rCsAYIX0EAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxGyadQEAAAAbTtWsK1hf3bOuAJgxPYQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAE7PqQKiq9q+qT1bVe8btA6vqrKq6eLy+4+rLBAAAAGCtrEUPoWcluXDR9mlJzu7uo5OcPW4DAADA3lG1b19gDawqEKqqw5P8WJJXL2o+LsnW8fbWJMev5jEAAAAAWFur7SH0+0l+Pcl3F7Ud3N1XJcl4fedVPgYAAAAAa2jFgVBVPSnJ1d19zgrPP6WqtlXVtu3bt6+0DAAAAACWaTU9hB6e5ClVdWmSNyd5dFW9PsmXquqQJBmvr97Zyd19endv6e4tmzdvXkUZAAAAACzHigOh7n5Odx/e3UcmOSHJB7r7xCRnJjlpPOykJO9adZUAAAAArJm1WGVsRy9J8tiqujjJY8dtAAAAADaITWtxJ939oSQfGm9/Jclj1uJ+AQAAAFh769FDCAAAAIANTCAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIMT/396dh0lWlvf/f3/YBJElIu6yChhAERiULSi4YgTFJQY34q6/REUSo9EYFE3UqLhgjKJCcFdEf+64IIKAsgz7Il8jCgFUVBRQiWz3949zmumZ78x09UxXP1Vd79d19dV1Tk3bH69Dd1fd53nuW5IkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YVa5IJTkAUlOTnJZkkuSvLI/f/ck307y4/7zn81dXEmSJEmSJK2u1VkhdBvw91X158DuwN8m2R54LXBSVW0DnNQfS5IkSZIkaUSsckGoqn5eVef2j28CLgPuBzwJOK7/Z8cBT17dkJIkSZIkSZo7c9JDKMkWwM7AmcC9qurn0BWNgHuu4GtenOScJOf86le/mosYkiRJkiRJGsBqF4SS3A04ATi0qm4c9Ouq6uiqWlRVizbddNPVjSFJkiRJkqQBrVZBKMnadMWgT1bVF/rTv0xyn/75+wDXrV5ESZIkSZIkzaXVmTIW4KPAZVV15LSnvgwc0j8+BPjSqseTJEmSJEnSXFtrNb52L+A5wEVJzu/PvQ54G/C5JC8ArgKevnoRJUmSJEmSNJdWuSBUVacBWcHTj1rV/11JkiRJkiQN15xMGZMkSZIkSdL4sCAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEWat1AEmSJEmSpDslrRMMT1XrBHdyhZAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTRgLQpIkSZIkSRPGgpAkSZIkSdKEsSAkSZIkSZI0YSwISZIkSZIkTZihFYSSPD7J5Un+O8lrh/V9JEmSJEmSNDtDKQglWRP4D2B/YHvg4CTbD+N7SZIkSZIkaXaGtULoYcB/V9UVVXUL8BngSUP6XpIkSZIkSZqFtYb0v3s/4H+mHV8NPHz6P0jyYuDF/eHvk1w+pCyj4B7Ar+ftuyXz9q0mhNdvfHntxpvXb7zN3/Xz2s01f/bGm9dvfHntxpvXb7wt5Nctm6/oiWEVhJb3/7CWOqg6Gjh6SN9/pCQ5p6oWtc6hVeP1G19eu/Hm9RtvXr/x5bUbb16/8eW1G29ev/E2qddvWFvGrgYeMO34/sC1Q/pekiRJkiRJmoVhFYTOBrZJsmWSdYC/Br48pO8lSZIkSZKkWRjKlrGqui3J3wHfBNYEjqmqS4bxvcbERGyNW8C8fuPLazfevH7jzes3vrx2483rN768duPN6zfeJvL6papm/leSJEmSJElaMIa1ZUySJEmSJEkjyoKQJEmSJEnShLEgNMfSecDM/1KSJEmSNI6SbDnIOWmU2UNoCJIsrqpdW+eQJkWSu6/s+aq6fr6yaNUleSVwLHAT8BFgZ+C1VfWtpsE0a0nWAO5WVTe2ziItdEkOW87pG4DFVXX+fOfR4JLsVVWnz3ROoynJuVW1yzLnfB+osTKUKWPih0l2q6qzWwfR7CXZCzi/qv6Q5NnALsB7q+rKxtG0YouBArKc5wrYan7jaBU9v6rem+RxwKbA8+gKRBaExkCSTwEvBW6n+5ncKMmRVfWOtsk0iCS7LOf0DcCVVXXbfOfRrCzqP77SH/8lcDbw0iTHV9W/N0ummRxF9zpzpnMaIUkeBOxA93fuKdOe2hBYt00qadVYEBqOfYGXJLkS+APdm9Sqqoe0jaUB/SewU5KdgH8EPgp8DHhE01Raoapyee7CMFXQewJwbFVdkGR5RT6Npu2r6sYkzwK+DryGrjBkQWg8fIDuTeiFdD+LO/aPN0nyUlfqjbRNgF2q6vcASQ4HPg/sQ/czaEFoxCTZA9gT2HSZFV4bAmu2SaVZ2A54IrAxcMC08zcBL2qSSFpFFoSGY//WAbRabquqSvIkupVBH01ySOtQmllfPHgWsGVVvTnJZsC9q+qsxtE0mMVJvgVsCfxTkg2AOxpn0uDWTrI28GTg/VV1axL3pY+PnwEvqKpLAJJsD7waeDPwBVypN8o2A26ZdnwrsHlV3ZzkT40yaeXWAe5G915sg2nnbwSe1iSRBlZVX0ryVeA1VfVvrfNo1SR5OnBiVd2U5J/pboq8parObRxtXlkQGoKprUVJ7onLBsfRTUn+CXg2sE+SNYG1G2fSYD5AV0DYj+5NzE3ACcBuLUNpYC8AHgpcUVV/TLIJ3bYxjYcP0RUVLgBOTbI53ZsbjYcHTRWDAKrq0iQ7V9UVLtQbeZ+ia1fwpf74AODTSdYHLm0XSytSVacApyT5L1sSjKequj3JYwALQuPrDVV1fJK9gccB76TbKfLwtrHml02lhyDJgcC7gPsC1wGbA5dV1Q5Ng2kgSe4NPBM4u6q+368yeWRVfaxxNM1gqrlfkvOqauf+3AVVtVPrbJpZkpOq6lEzndP4SLKW/WfGQ5LPAtcDn+lPPQO4B/Ac4LSqsrA+wpIsAvai2+53WlWd0ziSBpBkW+AfgC2YdqO+qvZrlUmDS/KvwEbAZ+nahAAwaStMxtXU+4UkbwUuqqpPTX8PMSlcITQcbwZ2B77T/0e2L3Bw40wa3Kuq6jVTB1V1VRKLeePh1n5FVwEk2RS3HI28JOsCdwXukeTPWNJLaEO6wrrGQJJ70d0pvW9V7d9vOdqDrg+bRt/fAP8fcCh9UYHujeqtdL0RNdrOA66lf22fZLOquqptJA3geOCDdJM1b2+cRbO3Z//5iGnnim6lukbfNUk+BDwaeHuSuwBrNM4071whNARJzqmqRUkuAHauqjuSnFVVD2udTTNbwQjJC20KPvr6ZrbPoNsDfBzdPvx/rqrjmwbTSvXj5g+lK/5cw5KC0I3Ah6vq/a2yaXBJvkE3Fe71VbVTkrWA86rqwY2jSQtakpcDhwO/pCsqOMxkTDiiXGonyV2Bx9OtDvpxkvsAD560IQoWhIYgyXfommq+jW7yw3XAblW150q/UE0leRnd3dGtgJ9Me2oD4IyqelaTYBpIkjXoVuZdDzyK7gXxSVV1WdNgGki/sut1VfXm1lm0apKcXVW7LbNl8/yqemjrbJpZkr2AN9Jtc5++dWWrVpk0mCT/DTy8qn7TOotmJ8kb6d4nfBG4swF4VV3fKpMGl2QjumLsPv2pU4AjquqGdqk0W8v2/Z201ZUWhIagb+J3M92Ss2fR7S39pH+oR1v/S/3PgLcCr5321E3+YR4PSX5QVXu0zqFV4/Ubb0m+BzwV+Hbfy2t34O1V9Yi2yTSIJD8CXkU3pvzOrSu+dhl9SU4GHmO/rvGT5KfLOV0WYsdDkhOAi+lWpUPXc22nqnpKu1Qa1HL6/m4G/GjS+v5aEBqSfrrKNlX1nX452ppVdVPrXBrcpFeLx1GSNwEXAl8of7mNHa/feEuyC3AUsCPdC+RNgadV1YVNg2kgSc6sqomarLJQJPkosB3wNZZeZXJks1DSBFjeKlhXxo6Pvr3LfizT97eqXtw42ryyqfQQJHkR8GLg7sDWwP3oGsY5KWcMJDkAOJJlpsQBE1UtHlOHAesDtyX5X5b0UdiwbSwNaOr63Z7kZrx+Y6Wqzk3yCLo3pgEur6pbG8fS4E5O8g7gCyxdVHBazui7qv9Yp//QmOhvGh8GbFZVL06yDbBdVX21cTQN5uYke1fVaXDn1tubG2fS4G6tqt8kWSPJGlV1cpK3tw413ywIDcffAg8DzgTom1Tds20kzcJbcErcWKqqDVpn0Krz+o23vg/UE1gyPvmxSVylMD6mVgctmnbOaTljoKre1DqDVtmxdNs0p/qMXk03ecyC0Hh4GXBc33YidH0sD2kbSbPwuyR3A04FPpnkOmDitt5aEBqOP1XVLUk3KKeftOL2h/FhtXiM9WPLt2Hp7X6ntkuk2ej3c081Z/yed0nHyleA/wUuAu5onEWzVFWOlh8zSd5TVYcm+QrLeZ1ZVQc2iKXZ2bqqnpHkYICqujlTbyA08qrqfGCnJBv2xzc2jqTZeRLdiq5XsaTv7xFNEzVgQWg4TknyOmC9JI+hm1z1lcaZNLipavH3meBq8ThK8kLglcD9gfPpVnr9AO9wj4UkbwN2Az7Zn3plvxT7tSv5Mo2O+zvmevwkeXZVfSLJYct73hVeI+3j/ed3Nk2h1XFLkvXoC3pJtmbalk2NtiSb0E0Z2xuoJKfRTRmzGf+I61c1f6mqHk13E+u4Gb5kwVqjdYAF6rXAr+jukr4E+Drwz00TaTaeBPwROBQ4kW4E/QFNE2lQr6QrKFzZ3+3eme5nUePhCXSTco6pqmOAx/fnNB6+keSxrUNo1tbvP2+wgg+NqKpa3D/8fVWdMv0DNlkksgAAHy1JREFUsPfaeDic7rXmA5J8EjgJ+Me2kTQLn6F7nflU4Gn94882TaSBVNXtwB/77X4TzSljQ5BkP+CHVfXH1lm0apwSN56SnF1VuyU5H3h4Vf3JaQ/jI8mFwCOr6vr++O5028ZcdTIGkhwEfILuZtOt2BRcmhdJzgUOqaqL+uODgUOdGjce+lUmu9P9zvxhVf26cSQNKMniqtp1mXPnVNWiFX2NRkeSz9H97H0b+MPU+ap6RbNQDbhlbDj+Bvhgkt/QbTv6PnBaVf22aSoNxClxY+3qJBsD/z/w7SS/Ba5tnEmDeytwXpKT6V4Y7wP8U9tImoV3AXsAF5V3m8ZOkk2BF7GkKTgAVfX8Vpk0sKcBn0/yLLqtK88FXK03Pu4HrEn3c7dP34z/C40zaTAnJ/lr4HP98dOArzXMo9n5Gl4vVwgNU5L70v1i+AfgvlVlAW4M9KtLHgacWVU79+cuqqoHt02m2ejHX28EnFhVt7TOo8EkuQ/dtj+As6rqFy3zaHBJvgnsX1U2lB5DSc6gu4G1GLh96nxVndAslAaWZFu6myH/Azy5qhx9PQaSHAM8BLiEJc34y0LseEhyE92226lrtwZLVpq4QnYM9D28Nquqy1tnacUCxRAkeTbwF8CDgV8D76d7kaXx4JS4MZZkF/rmfsDpFoPGzh4suX5rAl9sG0ez8HPge0m+wbSmqDYlHht3rarXtA6hwSW5iKVfn9yd7vfmmf0qE7fbjr7dq2r71iG0aqrKPmtjLMkBdE351wG2TPJQuqbgEzWh0YLQcLyHrhHxB4GTq+pnbeNolpwSN6aS/AvwdGBqqfWxSY6vqrc0jKUBJfkA8EDg0/2plyR5dFX9bcNYGtxP+491+g+Nl68meUJVfb11EA3sia0DaLX9IMn2VXVp6yAaXN9r9HdVdUN/vC/wZOBnwH94M3JsvJFuV8j3AKrq/CRbtgzUglvGhiTJDnT9L/YGtgEur6rntE2lQSRZA3gB3f77AN8EPmJPjNGX5DJg56r63/54PeDcqvrztsk0iCSXADtO/az1P4sXVdUObZNJC1e/5aHo/t6tT7e6y6bgYyDJhlV1Y9+A//8x1aBfoyvJPnQ3HX9B97M39XPn6q4RluRM4KCqurZfVfIduj6IDwFuraoXNg2ogSQ5s6oenuS8aW1CLpy0nz9XCA1Bkg2BzYDN6ZozboRbjsZG3//iw/2HxsvPgHWB/+2P70K3Wk/j4XK6351X9scPAC5sF0ez0Tcl/kdgB7qfQwCqar9moTQjtzyMtU/RrRJazJKi3pQCtmoRSrNyDPAc4CKW9KHR6FuvqqaGljwbOKaq3tXfyDq/YS7NzsVJngmsmWQb4BXAGY0zzTsLQsNx2rSP91fV1Y3zaADL2Yu/lEmrFo+pPwGXJPk23bV8DHBakvfB5I2RHEObAJclOas/3o1uOf2XASZtT/cY+iTwWbo3qC8FDgF+1TSRBpZkL+D8qvpD3wtxF+A9VXVV42hagap6Yv954rY4LCBXVdWXW4fQrE0vvu5HPxG1qu6Y6kGqsfBy4PV07x8+Tbcr5M1NEzXglrEhSPJXVfW5Zc49vaqOb5VJM+srw/eim9Ax3ebAtVX13/OfSrOR5JCVPV9Vx81XFs1ePxluharqlPnKotlLsriqdp2+3DrJKVW10uuq0ZDkQmAnui0PHwc+CjzF6ze6+iEKK1RV585XFq2avnfexnTbxqY343fs/AhL8l7gPnTDFA4Etq2qW/tJqV+pqkVNA0qzYEFoCJKcW1W7zHROoyXJV4HXVdWFy5xfBBxeVQe0SabZSLIO8CC6FUKX29hv/CTZhK4H21VVtbh1Hg0myQ+ravd+/Pz7gGuBz1fV1o2jaQBTr1P65vzXVNVHfe0y2pKcPO1wV7qtY1PK7ZqjL8mxyznt2PkRl24Z0DPoikKfq6pr+vM7A/esqm+2zKfB9O/xXkfX4uXOnVOTtivEgtAcSrI/8ATgr+iWzU/ZENi+qh7WJJgGkuTiqtpxBc9dVFUPnu9Mmp0kTwA+RNc3KMCWwEuq6htNg2ml+mLsa6vq4v7u2rnAOcDWwNFV9Z6mATWQJE8Evk/X++kour99b3I7xHhIcgpwIvA8uoLsr+i2kPm3bwxMb4oqSZpZksuBV7NMD6+qunKFX7QA2UNobl1L9ybmQJa+S3MT8KomiTQb667kufXmLYVWx5HAvlPb+5JsDXwNsCA02rasqov7x88Dvl1Vz02yAXA6YEFoDFTVV/uHNwD7tsyiVfIM4JnAC6rqF0k2A97ROJMG5x3eMZRkK+C9wO501/AHwKFV9dOmwaTJ8CtvWlkQmlNVdQFwQZJP0a1O2LZ/6vKqurVdMg3o7CQvqqqlposleQFLF/g0uq5bptfTFcB1rcJoYNN/Pz6KfsJfVd2UxKkrIy7JDsDWUy+qkrybbromdIMV7GMyBqrqF3RF9anjq4CPtUskTYRPAf8BHNQf/zXwGeDhzRJJk+PwJB8BTmKCe3i5ZWwI+saoH6MbgR265fOHVNWpLXNp5ZLcC/gicAtLCkCLgHWAg/oXyxphSf6Trgn45+jutD2dbpT56TB5v+DHRZKvAN8CrqYbwbtlVf0uyXrAOVW1Q9OAWqn++r21qs7ojy8F3gDcFXhqVT25ZT6tXJLTqmrvJDex9CqT0PUy2bBRNM0gyVEsuWZThYQ7OVlz9CU5s6oevsy5H1bV7q0yaXD9VumvV5U3r8ZQkk/Q9R29hCVbxiauh5cFoSFIshh4ZlVd3h9vC3y6qnZtm0yDSLIvMNVL6JKq+m7LPBrcCpozTpm4X/DjIsk9gSPomjP+R1V9qz+/L7BrVb2zZT6tXJJzpk9Umf5mZqrY0C6dZpJk80nrl7BQOFlz/CV5G/A7umJe0W3dvAvdqiGq6vp26TSTvqCwB3ACcGxVXdY4kmbBHrEdC0JDMH3k7srOSRq+JLtV1dmtc0gLVZLLq2q7FTz3f6pq2+U9p9EwfZJYkhOq6qmtM0mTIsnKegVVVW01b2G0SpJsCBxM1wOxgGPpFgLc1DSYZpTkw8C7q+rS1llasofQcJyT5KPAx/vjZ2EPGmneJNmebvn8wXQNbhet/CskrYZrkzy8qs6cfjLJ7nTDFjTaMu2xbz6leVRVW7bOoNVTVTcmOYFuAM2hdP2gXp3kfVV1VNt0msHewCF9YfZPLNkqPVGLOCwIDcfLgL8FXkH3H9apwAeaJpIWuCSb0xWADgZuo+sltKiqftYylzQBXgN8Nsl/AVMNpHcFDqHb/qDRVit4LGlIkuxXVd9N8pTlPW/Pw/GQ5ADg+cDWdAsBHlZV1yW5K3AZYEFotD2+dYBR4JaxIUmyDrAd3Ysrp4xJQ5TkDLqpRp8BPlNVP07yU++8jY8kawKvqKp3t86i2ev7QP0dMNUA/BK6flC/bJdKg0hyO/AHuhtY6wF/nHoKm0pLQ5HkTVV1+Ap6H9rzcEwk+RjwkeUNDkryqKo6qUEszVL/GmbdqeN+yubEsCA0BEkeCRyHU8akeZHkS8DOwJeBT1XVGUmucO/9eEnyvap6ZOsckjSOknyO7sbI1+j+FtoPSponSe4B/KZ8cz02khwIvAu4L3Ad3e6CyyZtuq0FoSFwypg0/5JsBDyVbsvYA4GNgcdV1VlNg2lgSf6VbqXXZ+lWLABQVeeu8IskSUA3RAF4Lt3fwQ9V1esbR9IMkvzL8s5X1RHznUWD63vkvQ24Hngz3XaxewBrAM+tqhMbxtOAklwA7Ad8p6p27qfbHlxVL24cbV7ZQ2g41p4qBgFU1f9JsnbLQNJCV1U3AMcAx/RLP58BvCfJA6rqAW3TaUB79p+nvxAuuj/WkqRpkryZbrvKlf2pK4CHASfSjS7X6PvDtMfrAk+k6z2j0fZ+4HV0N7G+C+xfVT9M8iDg03Q/gxp9t1bVb5KskWSNqjo5ydtbh5pvrhAagiTH0L2JmT5lbK2qel67VNJkSrL5tBfLkoag7wH1tqp6dess0qRIcuHUNJwkWwBfAd5UVZ9PcnZV7dYyn2YvyV2AL1fV41pn0YolOb+qHto/vqyq/nzac+dV1c7t0mlQSb4DPBl4K90Kr+uA3apqz5V+4QKzRusAC9TL6BpqvgJ4JXAp8NKmiaQJZTFofCS5V5KPJvlGf7x9khe0zqWZVdXtwK5JMuM/ljRX1kyyWZK9gW8Cr+yLQQHu2jibVs1dAfsfjr47pj2+eZnnXG0xPp5EN0jhVXSrun4CHNA0UQOuEJpDSf6uqt7fP96hqi5pnUmSxkVfCDoWeH1V7ZRkLeC8qnpw42gaQJJ3AdsAx7N0DyjHJ0tD0I+8fjdwC902o4uBk4BnA2tU1QsbxtMAklzEkgLCmsCmwBFT7yc0mmaYzrhuVdkqZIQleSBwr6o6fZnz+wDXVNVP2iRrw4LQHEpyblXtsuxjSdLMprY4TF9uPX1Ztkab45OldvpVQS8HHgecB/xrVS27ckEjJsnm0w5vA35ZVbe1yiNNgiRfBV5XVRcuc34RcHhVTdQqIZtKD4/L5qV5luTfgbfQLd89EdgJOLSqPtE0mAb1hySb0N8t7ad43NA2kgZlnzypnX7U9fv6D42Pm5Y53nD6ztuqun5+40gTYYtli0EAVXVO349tolgQmlsbJzmIrjfThkmeMv1Jl81LQ/fYqvrH/ufwauDpwMmABaHxcBjwZWDrJKfTLZ1/ettIGlSS+wNHAXvRFfVOo+tpcnXTYJI0us4FHgD8lu5m8sbAVf1zhf2EpGFYdyXPrTdvKUaEBaG5dQpwYP/4VJZuSlWABSFpuKb2bD8B+HRVXW+P27FyCfAIYDu6F8aX4/CDcXIs8CmWFPGe3Z97TLNEkjTaTqSbKvZ1gCT7A4+uqr9vG0ta0M5O8qKq+vD0k/0gk8WNMjVjDyFJC0aSt9GNj7wZeBjdnbavVtXDmwbTQJbXe81+bONjef2e7AElSSuWZHFV7brMuXOqalGrTJqdJPeme81ZwNlV9YvGkTSDJPcCvkjXkH+qALQIWAc4aNKuoSuEJC0YVfXaJG8Hbqyq25P8kW6kpEZY/2LqfsB6SXZmSQ+2DXF08jj5dZJnA5/ujw8GftMwjzQRkiyvb9ANwDlV9aX5zqNZ+XWSf6bb2l50Kyv9vTkmkrwQ+Bfgu3SvXY5KckRVHdM2mVamqn4J7JlkX2DH/vTXquq7DWM14wohSWOvHxMJcEtV/bBpGM1akkOAv6G7O3POtKduAv7L/mvjIclmwPuBPfpTp9P1ELqyXSpp4UtyNPAg4Pj+1FPptuA+ALiiqg5tlU0rl+TuwOHAPnQFoVPpxs7bTHoMJLkc2LOqftMfbwKcUVXbtU0mDc6CkKSxN23c9e+q6lVNw2iVJXlqVZ3QOockjZMk36UbqnBbf7wW8C26/l0XVdX2LfNpdpKs5ej58ZDkJGD/qrqlP14H+HpVPbptMmlwbhkbgiRPB06sqpv6ZaC7AG+pqnMbR5MWJMddLwxVdUKSvwR2YNoEiKo6ol0qDcopY1Iz9wPWp9smRv/4vv3W6T+1i6UVSXJaVe3dP/54VT1n2tNn0b130Oi7BjgzyZfo/u49CTgryWEAVXVky3DSICwIDccbqur4JHsDjwPeCfwnYGNbaYiS3IVuqfwWTPv9ZkFhPCT5IF3PoH2BjwBPo3thrPHglDGpjX8Hzk/yPbo+JvsA/5ZkfeA7LYNphdaf9njHZZ5zPOr4+En/MWWqZ9cGDbJIq8QtY0OQ5Lyq2jnJW+mW6n5q6lzrbNJCluREujuki4Hbp85X1buahdLAklxYVQ+Z9vluwBeq6rGts2lmThmT2klyH7pJRwHOqqprG0fSSkyfoLnsNE2na46fJBsAVVW/b51Fmi1XCA3HNUk+BDwaeHu/amGNxpmkSXD/qnp86xBaZTf3n/+Y5L50k1a2bJhHs+OUMamdNYBf0b22f2CSB1bVqY0zacU2TnIQ3XXbOMlT+vMBNmoXS7ORZEfg48Dd++NfA8+tqkuaBpNmwYLQcPwV8HjgnVX1u/6uzasbZ5ImwRlJHlxVF7UOolXy1SQbA+8AzqXbj//htpE0C8+nmzL2brprd0Z/TtIQJXk78Ay6yWJ39KenJlZpNJ0CHDjt8QHTnvO6jY+jgcOq6mSAJI+ke92yZ8tQ0my4ZUzSgpHkUuCBwE+BP9HdaauqekjTYFqpJIfSjSg/b9qUnLsA61bVDSv9YkmacP3o64dUlQ2kpXmU5IKq2mmmc9Ioc4XQHEryU7o7Mr+qKhtIS/Nv/9YBtEruD7wXeFCSC+lWlpwO/KBpKg0kyVF0f/uWq6peMY9xpEl0BbA23Y0QSfPniiRvoNs2Bt0whZ82zCPNmiuEJC0o/XS/barq2CSbAnerKv84j4Ek6wCL6JZa79F//K6qtm8aTCuV5JD+4V7A9sBn++OnA4ur6lVNgkkTIskJwE7ASUwrClmMlYYryZ8BbwL2pluVfirwxqr6bdNg0ixYEBqSJPcDNmfp0dfuCZaGKMnhdAWF7apq274x8fFVtVfjaBpAko3oikB79Z83ppvU+LymwTSQJCcDj62qW/vjtYFvVdW+bZNJC9u0ouxSquq4+c4iSRovbhkbgmnN/S5lyehrm/tJw3cQsDNdQ2Kq6tp+FKhGWJKjgR2Am4Az6baMHekdtrFzX2AD4Pr++G79OUlDZOFnfPWF85cB+/SnTgE+OFVY12hLsi3wD8AWLL0IYL9WmaTZsiA0HE+mW6HgXm5pft1SVZWkAJKs3zqQBrIZcBfgx8A1wNXA75om0qp4G3Bev1II4BF0S+klDUGSz1XVXyW5iOX08XKgwlj4T7r+Tx/oj5/Tn3ths0SajeOBDwIfYckiAGmsuGVsCJJ8A3h6Vf2+dRZpkiT5B2Ab4DHAW+lGXn+qqo5qGkwzShK6VUJ79h870q00+UFVHd4ymwaX5N7A1FCFM6vqFy3zSAtZkvtU1c+TbL6856vqyvnOpNlxStV4S7K4qnZtnUNaHRaEhsDmflI7SR4DPJauud83q+rbjSNpFpLcn66H0J7AE4FNqmrjtqk0iCQnVdWjZjonae71xdiH0a0UOtti7HhIci7dTeSf9MdbAZ+vql3aJtPKJLl7//AVwHXAF1n6Pd/1y/s6aRRZEBoCm/tJbSXZkKX3cvuHeYQleQVdAWgv4FaWjJw/na6p9B0N42kGSdYF7gqcDDySrhgLsCHwjar680bRpImQ5IXAvwDfpfv5ewRwRFUd0zSYZpTkUcCxwBV0125z4HlVdfJKv1BNJfkpXfE1y3m6qmqreY4krTILQkOSZD1gs6q6vHUWaVIkeQlwBHAzcAfdH2r/MI+4JEfSNZI+vap+3jqPZifJK4FD6RpIXzvtqRuBD1fV+5sEkyZEksuBPavqN/3xJsAZVbVd22QaRJK7ANvRvWb5kT1IJc0nC0JDkOQA4J3AOlW1ZZKH0t2pObBxNGlBS/JjYI+q+nXrLNKkSfJy+3VJ8y/JScD+VXVLf7wO8PWqenTbZFqRJPtV1XeTPGV5z1fVF+Y7kwaXZDfgf6a2ZiZ5LvBU4Ergja5M1zhxythwvJFuH/f3AKrq/CRbtgwkTYifAH9sHUKaUDf0L4qXUlUfaxFGmiDXAGcm+RLdNpYnAWclOQygqo5sGU7L9Qi6LX4HLOe5AiwIjbYPAY8GSLIP3ZTNlwMPBY4GntYumjQ7FoSG47aquqEbmnMnl2JJw/dPwBlJzsSG7tJ8223a43WBRwHnAhaEpOH6Sf8x5Uv95w0aZNEApqZnVtXzWmfRKllz2iqgZwBHV9UJwAlJzm+YS5o1C0LDcXGSZwJrJtmGrgP9GY0zSZPgQ3R33C6i6yEkaZ5U1cunHyfZCPh4ozjSxKiqN7XOoNmZWr21Iq7qGnlrJlmrqm6ju/nx4mnP+f5aY8X/YIfj5cDr6VYofBr4JvDmpomkyXBbVa30RZakefNHYJvWIaSFLskiutedm7P0hM2HNAulmUyt3tqObnXll/vjA4BTmyTSbHwaOCXJr+kGmXwfIMkDgRtaBpNmy6bSkhaMJP9K19DvKyy9ZczmftKQJfkKS7ZHrwFsD3yuql7bLpW08PVTxl7NMqtjq+rKZqE0kCTfAp5aVTf1xxsAx1fV49sm00yS7A7cB/hWVf2hP7ctcLeqOrdpOGkWLAjNoSRfXtnzThmThivJT5dz2rHz0jxI8ohph7cBV1bV1a3ySJMiyWlVtXfrHJq9JD8CdpoaNd+PoL+gqh7UNpmkSeGWsbm1B/A/dMsIzwSy8n8uaS5VldP8pHauAnagWyV0mcUgad4cnuQjwEksvTrWSVWj7+N0E+G+SPe78yDguLaRJE0SVwjNoSRrAo8BDgYeAnwN+HRVXdI0mDQhkqwNvAzYpz/1PeBDVXVrs1DSApdkQ+AjwK7ABXQ3Q3YCFgMvqKobG8aTFrwknwAeBFzCki1jVVXPb5dKM0k3jvj+wKbAX/SnT62q89qlkjRpLAgNSb/k82DgHcARVXVU40jSgtffIV2bJXfXngPcXlUvbJdKWtiS/BfwM7q/dXf05wK8AXhgVT23XTpp4UtyUVU9uHUOzV6SxVW1a+sckiaXW8bmWF8I+ku6YtAWwPsAl+xK82O3qtpp2vF3k1zQLI00Gfaqqr+ZfqK6u01HJPlxm0jSRPlhku2r6tLWQTRrP0yyW1Wd3TqIpMlkQWgOJTkO2BH4BvCmqrq4cSRp0tyeZOuq+glAkq2A2xtnkhY6++VJbe0NHNIPVvgT3c9kOXZ+LOwLvCTJlcAf8NpJmmduGZtDSe6g+2UOS0bvwpJf7hvOfyppciR5FHAscAXdz93mwPOq6uSmwaQFrL8Z8hPgzTXtRUWSNwDbVtVzmoWTJkCSzZd33rHzo89rJ6k1C0KSxl6SQ4HTgfOANYHt6ApCP5oa5SppOPqm0h8FdgHOp7shsjPdz+MLquqGhvGkiZHknsC6U8dVdVXDOJoFr52kViwISRp7Sd4J7Ek3ZeVC4Ay6AtEPqur6ltmkhS7JWlV1W5Ktge3pirGXTG3dlDRcSQ4E3gXcF7iObnXsZVW1Q9NgmpHXTlJrFoQkLRhJ1gEW0RWH9ug/fldV2zcNJi1gSc4BrgZOBE6sqp+1TSRNln54wn7Ad6pq5yT7AgdX1YsbR9MMvHaSWlujdQBJmkPrARsCG/Uf1wJnNk0kLXBVtQh4ZX/4niRnJ3l3ksf2kzclDdetVfUbYI0ka/R98x7aOpQG4rWT1JRTxiSNvSRHAzsAN9EVgM4Ajqyq3zYNJk2IvgHqB4EPJlkb+Avg8cBbkvyqqv6yaUBpYftdkrsBpwKfTHIdcFvjTBqM105SU24ZkzT2kpwI3AO4mK4Y9APg4vIXnDQvkqwJHFdVz17Oc/erqmsaxJImQpL1gZvpVv4/i26F7Cf7lScaYV47Sa1ZEJK0ICQJ3SqhPfuPHYHr6RpLH94ymzQJknwTOKCqbmmdRZoESR4I3KuqTl/m/D7ANTZ2H11eO0mjwh5CkhaE6lwMfB34Bt2Usa1Z0ttE0nD9DDg9yRuSHDb10TqUtIC9h26r9LL+2D+n0eW1kzQS7CEkaewleQXdqqC9gFvpR84DxwAXNYwmTZJr+481gA0aZ5EmwRZVdeGyJ6vqnCRbzH8czYLXTtJIsCAkaSHYAvg88Kqq+nnjLNJEqqo3ASTZoDus3zeOJC10667kufXmLYVWhddO0khwy5iksVdVh1XV5y0GSe0k2THJeXTN3S9JsjjJDq1zSQvY2UletOzJJC8AFjfIo8F57SSNBJtKS5Kk1ZbkDOD1VXVyf/xI4N+qas+mwaQFKsm9gC8Ct7CkiLAIWAc4qKp+0SqbVs5rJ2lUWBCSJEmrLckFVbXTTOckza0k+9JN1gS4pKq+2zKPBue1k9SaBSFJkrTaknwROBf4eH/q2cCiqnpyu1SSJElaEXsISZKkufB8YFPgC3RbITYFntc0kSRJklbIFUKSJGnOJNkQuMMpY5IkSaPNFUKSJGm1JXlwP2XsIpZMGdtxpq+TJElSGxaEJEnSXPgQcFhVbV5VmwN/DxzdOJMkSZJWwIKQJEmaC+tPjZwHqKrvAeu3iyNJkqSVWat1AEmStCBckeQNLD1l7KcN80iSJGklXCEkSZLmglPGJEmSxohTxiRJkiRJkiaMW8YkSdIqS/IVYIV3l6rqwHmMI0mSpAFZEJIkSavjnf3npwD3Bj7RHx8M/KxFIEmSJM3MLWOSJGm1JTm1qvaZ6ZwkSZJGg02lJUnSXNg0yVZTB0m2pGssLUmSpBHkljFJkjQXXgV8L8kV/fEWwEvaxZEkSdLKuGVMkiTNiSR3AR7UH/6oqv7UMo8kSZJWzIKQJEmaE0n2pFsZdOcK5Kr6WLNAkiRJWiG3jEmSpNWW5OPA1sD5wO396QIsCEmSJI0gVwhJkqTVluQyYPvyhYUkSdJYcMqYJEmaCxcD924dQpIkSYNxy5gkSZoL9wAuTXIWcGcz6ao6sF0kSZIkrYgFIUmSNBfe2DqAJEmSBmcPIUmSJEmSpAnjCiFJkrTKktxEN03s/3kKqKracJ4jSZIkaQCuEJIkSZIkSZowThmTJEmSJEmaMBaEJEmSJEmSJowFIUmSJEmSpAljQUiSJEmSJGnCWBCSJEmSJEmaMP8XTcne2XfiYWIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1440x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Western Europe欺诈交易最多，先分开画top10\n",
    "high_fraud_total = data[data['Order Status']=='SUSPECTED_FRAUD']\n",
    "high_fraud_we = data[(data['Order Status']=='SUSPECTED_FRAUD') & (data['Order Region']=='Western Europe')]\n",
    "\n",
    "fig,axs = plt.subplots(2,1)\n",
    "high_fraud_total['Category Name'].value_counts().nlargest(10).plot.bar(figsize=(20,8), title='Fraud Category',color='b',ax=axs[0])\n",
    "high_fraud_we['Category Name'].value_counts().nlargest(10).plot.bar(figsize=(20,8), title='Fraud Category',color='r',ax=axs[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:33.745644Z",
     "start_time": "2020-11-14T07:44:33.727643Z"
    }
   },
   "outputs": [],
   "source": [
    "dict_fraud_total = high_fraud_total['Category Name'].value_counts().to_dict()\n",
    "dict_fraud_we = high_fraud_we['Category Name'].value_counts().to_dict()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:33.785646Z",
     "start_time": "2020-11-14T07:44:33.769645Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Cleats': 560,\n",
       " \"Men's Footwear\": 516,\n",
       " \"Women's Apparel\": 481,\n",
       " 'Indoor/Outdoor Games': 439,\n",
       " 'Fishing': 394,\n",
       " 'Water Sports': 329,\n",
       " 'Camping & Hiking': 305,\n",
       " 'Cardio Equipment': 276,\n",
       " 'Shop By Sport': 228,\n",
       " 'Electronics': 77,\n",
       " 'Accessories': 44,\n",
       " \"Girls' Apparel\": 35,\n",
       " 'Golf Balls': 33,\n",
       " 'Trade-In': 27,\n",
       " 'Golf Gloves': 22,\n",
       " \"Children's Clothing\": 18,\n",
       " 'DVDs': 16,\n",
       " 'Cameras ': 16,\n",
       " \"Kids' Golf Clubs\": 13,\n",
       " 'Crafts': 12,\n",
       " 'Boxing & MMA': 12,\n",
       " 'Sporting Goods': 12,\n",
       " 'Video Games': 12,\n",
       " 'Hockey': 12,\n",
       " 'Health and Beauty': 11,\n",
       " 'Computers': 11,\n",
       " 'Baseball & Softball': 11,\n",
       " 'Pet Supplies': 11,\n",
       " 'Books ': 11,\n",
       " 'Golf Shoes': 10,\n",
       " 'Garden': 10,\n",
       " \"Women's Clothing\": 10,\n",
       " 'Hunting & Shooting': 9,\n",
       " \"Women's Golf Clubs\": 8,\n",
       " 'Lacrosse': 8,\n",
       " 'Toys': 7,\n",
       " 'Tennis & Racquet': 6,\n",
       " 'Music': 6,\n",
       " 'Golf Apparel': 6,\n",
       " 'Baby ': 6,\n",
       " 'Fitness Accessories': 6,\n",
       " 'CDs ': 5,\n",
       " \"Men's Golf Clubs\": 5,\n",
       " 'Consumer Electronics': 5,\n",
       " \"Men's Clothing\": 5,\n",
       " 'Basketball': 3,\n",
       " 'Soccer': 2,\n",
       " 'Strength Training': 1}"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_fraud_total"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:33.806648Z",
     "start_time": "2020-11-14T07:44:33.793647Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{\"Men's Footwear\": 90,\n",
       " 'Cleats': 88,\n",
       " \"Women's Apparel\": 84,\n",
       " 'Water Sports': 71,\n",
       " 'Indoor/Outdoor Games': 68,\n",
       " 'Fishing': 62,\n",
       " 'Camping & Hiking': 54,\n",
       " 'Cardio Equipment': 49,\n",
       " 'Shop By Sport': 41,\n",
       " 'Cameras ': 13,\n",
       " \"Children's Clothing\": 10,\n",
       " 'Electronics': 10,\n",
       " \"Kids' Golf Clubs\": 9,\n",
       " 'Golf Balls': 7,\n",
       " 'DVDs': 6,\n",
       " \"Girls' Apparel\": 6,\n",
       " 'Baseball & Softball': 4,\n",
       " 'Accessories': 4,\n",
       " 'Crafts': 4,\n",
       " \"Women's Golf Clubs\": 4,\n",
       " 'Consumer Electronics': 3,\n",
       " 'Golf Gloves': 3,\n",
       " 'Hunting & Shooting': 3,\n",
       " 'CDs ': 2,\n",
       " 'Basketball': 2,\n",
       " 'Computers': 2,\n",
       " 'Boxing & MMA': 1,\n",
       " 'Golf Shoes': 1,\n",
       " 'Trade-In': 1,\n",
       " 'Soccer': 1,\n",
       " \"Men's Golf Clubs\": 1,\n",
       " 'Books ': 1}"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_fraud_we"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:33.829649Z",
     "start_time": "2020-11-14T07:44:33.815648Z"
    }
   },
   "outputs": [],
   "source": [
    "#统一到一个key里，key为Category Name\n",
    "#dict_fraud = {k:(dict_fraud_total[k],dict_fraud_we[k]) for k in dict_fraud_total.keys() | dict_fraud_we.keys()}\n",
    "fraud_total=[]\n",
    "fraud_we=[]\n",
    "dict_fraud={}\n",
    "for k in dict_fraud_total.keys() | dict_fraud_we.keys():\n",
    "    fraud_total.append(dict_fraud_total.get(k, 0))\n",
    "    fraud_we.append(dict_fraud_we.get(k,0))\n",
    "    dict_fraud[k]=(dict_fraud_total.get(k, 0), dict_fraud_we.get(k,0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:36.116780Z",
     "start_time": "2020-11-14T07:44:33.840650Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "index = np.arange(len(dict_fraud))\n",
    "fig,aix = plt.subplots(figsize=(20,8))\n",
    "plt.bar(index, fraud_total,width=0.4,color='r', label='Fraud in all Category Name')\n",
    "plt.bar(index, fraud_we,width=0.4,color='b', label='Western Europe Fraud in all Category Name')\n",
    "\n",
    "plt.xlabel('Category Name')\n",
    "plt.ylabel('Number of Fraud')\n",
    "plt.title('Numbers of Fraud in all Category Name')\n",
    "plt.legend()\n",
    "\n",
    "#显示刻度\n",
    "plt.xticks(index+0.2, dict_fraud.keys(), rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:36.135781Z",
     "start_time": "2020-11-14T07:44:36.124780Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[276, 18, 516, 10, 22, 11, 439, 11, 9, 12, 12, 27, 2, 8, 6, 394, 481, 33, 16, 11, 6, 5, 11, 1, 228, 5, 7, 6, 16, 11, 560, 6, 305, 35, 13, 5, 12, 3, 329, 10, 12, 6, 44, 5, 77, 10, 8, 12]\n"
     ]
    }
   ],
   "source": [
    "print(fraud_total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:36.158782Z",
     "start_time": "2020-11-14T07:44:36.143781Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[49, 10, 90, 0, 3, 2, 68, 0, 3, 0, 4, 1, 1, 0, 0, 62, 84, 7, 6, 1, 0, 1, 4, 0, 41, 3, 0, 0, 13, 0, 88, 0, 54, 6, 9, 2, 0, 2, 71, 1, 1, 0, 4, 0, 10, 0, 4, 0]\n"
     ]
    }
   ],
   "source": [
    "print(fraud_we)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:36.203785Z",
     "start_time": "2020-11-14T07:44:36.170783Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Cleats                  560\n",
       "Men's Footwear          516\n",
       "Women's Apparel         481\n",
       "Indoor/Outdoor Games    439\n",
       "Fishing                 394\n",
       "Water Sports            329\n",
       "Camping & Hiking        305\n",
       "Cardio Equipment        276\n",
       "Shop By Sport           228\n",
       "Electronics              77\n",
       "Name: Category Name, dtype: int64"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_fraud_total['Category Name'].value_counts().nlargest(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:44:36.235787Z",
     "start_time": "2020-11-14T07:44:36.212785Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Men's Footwear          90\n",
       "Cleats                  88\n",
       "Women's Apparel         84\n",
       "Water Sports            71\n",
       "Indoor/Outdoor Games    68\n",
       "Fishing                 62\n",
       "Camping & Hiking        54\n",
       "Cardio Equipment        49\n",
       "Shop By Sport           41\n",
       "Cameras                 13\n",
       "Name: Category Name, dtype: int64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "high_fraud_we['Category Name'].value_counts().nlargest(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:45:40.955488Z",
     "start_time": "2020-11-14T07:45:40.169443Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x28355ac8>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#筛选出top10的customer(风险)\n",
    "cust  = data[data['Order Status']=='SUSPECTED_FRAUD']\n",
    "cust['Customer Full Name'].value_counts().nlargest(10).plot.bar(figsize=(20,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T07:47:19.355116Z",
     "start_time": "2020-11-14T07:47:19.250110Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4771645.883297398"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#找到MarySmith的交易金额\n",
    "data[data['Customer Full Name']=='MarySmith']['Sales'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T13:24:01.424377Z",
     "start_time": "2020-11-14T13:24:01.313371Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "102491.66191043999"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#找到MarySmith的含有欺诈交易金额\n",
    "data[(data['Customer Full Name']=='MarySmith') & (data['Order Status']=='SUSPECTED_FRAUD')]['Sales'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T13:25:11.154793Z",
     "start_time": "2020-11-14T13:25:10.697767Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Type</th>\n",
       "      <th>Days for shipping (real)</th>\n",
       "      <th>Days for shipment (scheduled)</th>\n",
       "      <th>Benefit per order</th>\n",
       "      <th>Sales per customer</th>\n",
       "      <th>Delivery Status</th>\n",
       "      <th>Late_delivery_risk</th>\n",
       "      <th>Category Id</th>\n",
       "      <th>Category Name</th>\n",
       "      <th>Customer City</th>\n",
       "      <th>...</th>\n",
       "      <th>Product Price</th>\n",
       "      <th>Product Status</th>\n",
       "      <th>shipping date (DateOrders)</th>\n",
       "      <th>Shipping Mode</th>\n",
       "      <th>Customer Full Name</th>\n",
       "      <th>order_year</th>\n",
       "      <th>order_month</th>\n",
       "      <th>order_weekday</th>\n",
       "      <th>order_hour</th>\n",
       "      <th>order_month_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>91.250000</td>\n",
       "      <td>314.640015</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>2/3/2018 22:56</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>CallyHolloway</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>22</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>TRANSFER</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>-249.089996</td>\n",
       "      <td>311.359985</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/18/2018 12:27</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>IreneLuna</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>-247.779999</td>\n",
       "      <td>309.720001</td>\n",
       "      <td>Shipping on time</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>San Jose</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/17/2018 12:06</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>GillianMaldonado</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>22.860001</td>\n",
       "      <td>304.809998</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/16/2018 11:45</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>TanaTate</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>134.210007</td>\n",
       "      <td>298.250000</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>Sporting Goods</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>327.750000</td>\n",
       "      <td>0</td>\n",
       "      <td>1/15/2018 11:24</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>OrliHendricks</td>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>2018-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180514</th>\n",
       "      <td>CASH</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>Shipping on time</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/20/2016 3:40</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>MariaPeterson</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180515</th>\n",
       "      <td>DEBIT</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>-613.770019</td>\n",
       "      <td>395.980011</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Bakersfield</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/19/2016 1:34</td>\n",
       "      <td>Second Class</td>\n",
       "      <td>RonaldClark</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180516</th>\n",
       "      <td>TRANSFER</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>141.110001</td>\n",
       "      <td>391.980011</td>\n",
       "      <td>Late delivery</td>\n",
       "      <td>1</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Bristol</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/20/2016 21:00</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>JohnSmith</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180517</th>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>186.229996</td>\n",
       "      <td>387.980011</td>\n",
       "      <td>Advance shipping</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/18/2016 20:18</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>MarySmith</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180518</th>\n",
       "      <td>PAYMENT</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>168.949997</td>\n",
       "      <td>383.980011</td>\n",
       "      <td>Shipping on time</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>Fishing</td>\n",
       "      <td>Caguas</td>\n",
       "      <td>...</td>\n",
       "      <td>399.980011</td>\n",
       "      <td>0</td>\n",
       "      <td>1/19/2016 18:54</td>\n",
       "      <td>Standard Class</td>\n",
       "      <td>AndreaOrtega</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>2016-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>180519 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Type  Days for shipping (real)  Days for shipment (scheduled)  \\\n",
       "0          DEBIT                         3                              4   \n",
       "1       TRANSFER                         5                              4   \n",
       "2           CASH                         4                              4   \n",
       "3          DEBIT                         3                              4   \n",
       "4        PAYMENT                         2                              4   \n",
       "...          ...                       ...                            ...   \n",
       "180514      CASH                         4                              4   \n",
       "180515     DEBIT                         3                              2   \n",
       "180516  TRANSFER                         5                              4   \n",
       "180517   PAYMENT                         3                              4   \n",
       "180518   PAYMENT                         4                              4   \n",
       "\n",
       "        Benefit per order  Sales per customer   Delivery Status  \\\n",
       "0               91.250000          314.640015  Advance shipping   \n",
       "1             -249.089996          311.359985     Late delivery   \n",
       "2             -247.779999          309.720001  Shipping on time   \n",
       "3               22.860001          304.809998  Advance shipping   \n",
       "4              134.210007          298.250000  Advance shipping   \n",
       "...                   ...                 ...               ...   \n",
       "180514          40.000000          399.980011  Shipping on time   \n",
       "180515        -613.770019          395.980011     Late delivery   \n",
       "180516         141.110001          391.980011     Late delivery   \n",
       "180517         186.229996          387.980011  Advance shipping   \n",
       "180518         168.949997          383.980011  Shipping on time   \n",
       "\n",
       "        Late_delivery_risk  Category Id   Category Name Customer City  ...  \\\n",
       "0                        0           73  Sporting Goods        Caguas  ...   \n",
       "1                        1           73  Sporting Goods        Caguas  ...   \n",
       "2                        0           73  Sporting Goods      San Jose  ...   \n",
       "3                        0           73  Sporting Goods   Los Angeles  ...   \n",
       "4                        0           73  Sporting Goods        Caguas  ...   \n",
       "...                    ...          ...             ...           ...  ...   \n",
       "180514                   0           45         Fishing      Brooklyn  ...   \n",
       "180515                   1           45         Fishing   Bakersfield  ...   \n",
       "180516                   1           45         Fishing       Bristol  ...   \n",
       "180517                   0           45         Fishing        Caguas  ...   \n",
       "180518                   0           45         Fishing        Caguas  ...   \n",
       "\n",
       "       Product Price Product Status shipping date (DateOrders)  \\\n",
       "0         327.750000              0             2/3/2018 22:56   \n",
       "1         327.750000              0            1/18/2018 12:27   \n",
       "2         327.750000              0            1/17/2018 12:06   \n",
       "3         327.750000              0            1/16/2018 11:45   \n",
       "4         327.750000              0            1/15/2018 11:24   \n",
       "...              ...            ...                        ...   \n",
       "180514    399.980011              0             1/20/2016 3:40   \n",
       "180515    399.980011              0             1/19/2016 1:34   \n",
       "180516    399.980011              0            1/20/2016 21:00   \n",
       "180517    399.980011              0            1/18/2016 20:18   \n",
       "180518    399.980011              0            1/19/2016 18:54   \n",
       "\n",
       "         Shipping Mode Customer Full Name order_year order_month  \\\n",
       "0       Standard Class      CallyHolloway       2018           1   \n",
       "1       Standard Class          IreneLuna       2018           1   \n",
       "2       Standard Class   GillianMaldonado       2018           1   \n",
       "3       Standard Class           TanaTate       2018           1   \n",
       "4       Standard Class      OrliHendricks       2018           1   \n",
       "...                ...                ...        ...         ...   \n",
       "180514  Standard Class      MariaPeterson       2016           1   \n",
       "180515    Second Class        RonaldClark       2016           1   \n",
       "180516  Standard Class          JohnSmith       2016           1   \n",
       "180517  Standard Class          MarySmith       2016           1   \n",
       "180518  Standard Class       AndreaOrtega       2016           1   \n",
       "\n",
       "       order_weekday order_hour  order_month_year  \n",
       "0                  2         22           2018-01  \n",
       "1                  5         12           2018-01  \n",
       "2                  5         12           2018-01  \n",
       "3                  5         11           2018-01  \n",
       "4                  5         11           2018-01  \n",
       "...              ...        ...               ...  \n",
       "180514             5          3           2016-01  \n",
       "180515             5          1           2016-01  \n",
       "180516             4         21           2016-01  \n",
       "180517             4         20           2016-01  \n",
       "180518             4         18           2016-01  \n",
       "\n",
       "[180519 rows x 59 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-11-14T13:26:26.988184Z",
     "start_time": "2020-11-14T13:26:25.718112Z"
    }
   },
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('data.pkl','wb') as file:\n",
    "    pickle.dump(data, file)"
   ]
  }
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